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Goldman Sachs

JPMorgan Chase

Onsite

Job Title:&nbsp;AI Solutions Engineer – Vice President
Division:&nbsp;Asset &amp; Wealth Management – WM Data Engineering
What We Do
At Goldman Sachs, our Engineers don't just make things — we make things possible. The Wealth Management (WM) Data Engineering team within Asset &amp; Wealth Management builds and operates the data ecosystem that powers Wealth Management at scale — migrating legacy on-premises workloads to cloud-native platforms, delivering Lakehouse architecture on AWS, and embedding AI into how we build, operate, and evolve that infrastructure.
Our AI Solutions Engineering function bridges applied AI with data engineering — designing intelligent agent-based systems, LLM-powered tooling, and AI-augmented workflows that operate directly on the firm's data assets, pipelines, and governance surfaces.
Who We Look For
We are seeking an experienced AI Solutions Engineer to lead the design, development, and operationalization of production AI systems purpose-built for a modern data engineering organization. You are equally comfortable prototyping with large language models and reasoning about pipeline architecture, schema evolution, and query performance. You bring technical leadership that elevates the people around you.
Responsibilities
<ul>
 <li>Architect and deliver AI-powered data engineering solutions — LLM agents, RAG pipelines, and multi-agent workflows for pipeline generation, schema mapping, data quality, and migration — using tool-calling, stateful memory, and multi-agent coordination, integrated with the WM Lakehouse platform (S3, Databricks, Snowflake, Glue, Athena, MWAA)</li>
 <li>Define and maintain AI evaluation standards: offline benchmarks, prompt versioning, regression testing, and production observability — so the team always knows when a system is degrading</li>
 <li>Own the AI delivery lifecycle — CI/CD for model artifacts and prompt configurations, automated regression testing, and release management for LLM-powered services</li>
 <li>Enforce responsible AI practices: output guardrails, prompt injection defenses, and PII handling in LLM pipelines that operate on sensitive financial data</li>
 <li>Partner with data architects and platform engineers to ensure AI systems comply with data governance and regulatory standards (GDPR, CCPA, SOC2) and leverage Lakehouse infrastructure (Iceberg, Lake Formation)</li>
 <li>Establish and evangelize AI integration patterns (Model Context Protocol, AWS Bedrock) that enable data platform teams to expose their tools and data sources to LLM-based agents</li>
 <li>Mentor and develop associate and analyst engineers; provide technical direction and code review</li>
</ul>
Basic Qualifications
<ul>
 <li>7+ years of software engineering experience, with 3+ years’ building production AI/ML systems and demonstrated experience in LLM-based or agentic architectures</li>
 <li>Proficiency in Java, Python, and SQL; strong hands-on experience with LLM APIs (OpenAI, Anthropic, or equivalent) and agentic frameworks (LangChain, LangGraph, or similar)</li>
 <li>Demonstrated experience designing agentic architectures: tool use, multi-agent orchestration, memory, and state management</li>
 <li>Working knowledge of cloud data platforms — S3, Glue, Snowflake, Athena, MWAA/Airflow, Lambda, Lakehouse patterns, and ETL/ELT workflows</li>
 <li>Experience building AI evaluation pipelines (LangSmith, RAGAS, PromptFoo, or equivalent)</li>
 <li>Excellent communication skills; proven ability to lead cross-functional technical initiatives</li>
</ul>
Preferred Qualifications
<ul>
 <li>Experience with standardized tool-integration patterns for LLM agents (e.g., Model Context Protocol) or equivalent approaches for exposing APIs and data sources to agentic systems</li>
 <li>Experience with data governance tooling — metadata management, data lineage, data quality frameworks, or AWS Lake Formation</li>
 <li>Familiarity with modern data formats and engines (Apache Iceberg, Spark, Databricks, Snowflake)</li>
 <li>Experience with event-driven architecture, streaming pipelines, or real-time inference serving</li>
 <li>Experience with infrastructure as code (AWS CDK, Terraform, or CloudFormation)</li>
 <li>Background in financial services or regulated data environments</li>
</ul>
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 ABOUT GOLDMAN SACHS
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 At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.&nbsp;
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 We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.&nbsp;
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 We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
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 © The Goldman Sachs Group, Inc., 2023. All rights reserved.
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 Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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Asset & Wealth Management-AI Solutions Engineer-Vice President-Dallas

AI Solutions Engineer

7+ years software engineering; 3+ years building production AI/ML systems; proficient in Java, Python, SQL; experienced with LLM APIs and agent frameworks; strong cloud data platform experience; AI evaluation pipelines; excellent communication.

What We Do:
At Goldman Sachs, our Engineers don’t just make things – we make things possible. &nbsp;Change the world by connecting people and capital with ideas. &nbsp;Solve the most challenging and pressing engineering problems for our clients. &nbsp;Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.
Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. &nbsp;Want to push the limit of digital possibilities? &nbsp;Start here.
&nbsp;
Who We Look For:
Goldman Sachs has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.
Goldman Sachs is seeking Generative AI Engineer to join our dynamic GenAI and DocAI organization. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business.
In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval.&nbsp;
As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman’s AI Assistant to empower our business.
&nbsp;
Your responsibilities will include:
<ul>
 <li>Collaborating effectively with colleagues to build an AI enabled platform for Document Digitization.</li>
 <li>Conceptualizing, experimenting with, and assessing AI-based software systems.</li>
 <li>Developing, testing, and maintaining high-quality, production-ready code.</li>
 <li>Demonstrating technical leadership by taking charge of cross-team projects.</li>
 <li>Developing and deploying services in cloud native environment.</li>
 <li>Contributing to boost developer productivity with Generative AI.</li>
</ul>
&nbsp;
Required Qualifications:
<ul>
 <li>A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.</li>
 <li>A minimum of 5 years of experience in the industry that demonstrates your expertise.</li>
 <li>Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.</li>
 <li>Proficiency in contemporary programming languages like Python, C++, or Java.</li>
</ul>
 
 &nbsp;
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Generative AI Engineer - Vice President (Dallas, TX)

Generative AI Engineer

Master's or Ph.D. in CS/ML/Math/Statistics/Physics/Engineering/Quantitative Finance; 5+ years software development for quantitative workflows; Python/C++/Java.

Asset &amp; Wealth Management Division
Across Asset and Wealth Management (AWM), Goldman Sachs helps empower clients and customers around the world reach their financial goals.
The Private Wealth management (PWM) business within Asset &amp; Wealth Management division provides comprehensive Investment Management services and advice across a full range of asset classes for very high net worth individuals. PWM leverages a global technology platform offering, an integrated suite of tools, and applications to service clients. This platform helps realize a client's goals and objectives, develops, and implements an integrated wealth management plan and delivers first-class client service.
Across AWM, our growth is driven by a relentless focus on our people, our clients and leading-edge technology, data, and design.
Private Wealth Management
The Private Wealth Management (PWM) business provides end to end Investment Management services and advice across a broad range of asset classes for high-net-worth individuals. PWM leverages a global technology platform offering, an integrated suite of tools, and applications to onboard clients. Our software helps realize a client's goals and objectives, develops, and implements an integrated wealth management plan and delivers first-class client service. The successful candidate will join the global PWM Private Bank team. We are developing digital solutions to help clients connect and engage with Goldman Sachs. We work closely with our business partners to streamline business workflows and drive growth.
How You Will Fulfill Your Potential
In Wealth Management, we help our clients pursue their wealth management goals through careful advice &amp; astute investment management. Wealth Management Engineering plays a pivotal role in building the tools and applications our business needs to effectively manage and support our client’s diverse requirements. We support the entire user experience starting with onboarding through to maintenance, transfers, reporting, as well as providing clients access to their portfolios online. As part of the Private Banking platforms, being built on AWS Cloud, we're looking for strong engineers with expertise in AWS and CFT OR a strong willingness to upskill and learn cloud technologies.Job Description
We are seeking a highly skilled Backend Developer to join our dynamic, global team. The ideal candidate will have a strong background in backend development (preferably Java). This role will involve developing and implementing AI solutions, working with various technologies, and collaborating with cross-functional teams to drive innovation. The candidate will play a crucial role in advancing our lending capabilities and contributing to the success of our Wealth Management Division.Key Responsibilities
<ul>
 <li>Work with stakeholders to understand requirements and deliver solutions across several domains in Wealth Management.</li>
 <li>Stay updated with the latest advancements in Cloud and AI technologies.</li>
 <li>Conduct research and experiments to improve efficiency within the division.</li>
</ul>Basic Qualifications
<ul>
 <li>4+ years of professional software engineering experience building production systems.</li>
 <li>Strong proficiency in Java with Spring Framework (Spring Boot).</li>
 <li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li>
 <li>Experience with microservices architecture and API development.</li>
 <li>Experience with CI/CD using GitLab CI/CD and Git version control; strong familiarity with merge requests, code reviews, and branching strategies.</li>
 <li>Retrieval-Augmented Generation (RAG): Experience in developing and implementing RAG models to enhance information retrieval and generation tasks.</li>
 <li>Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance.</li>
 <li>Large Language Model APIs (LLM APIs): Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Claude).</li>
 <li>Programming Languages: Proficiency in Python, Java, or other relevant programming languages.</li>
 <li>Data Analysis: Strong analytical skills and experience with data analysis tools.</li>
 <li>Problem-Solving: Excellent problem-solving abilities and attention to detail.</li>
 <li>Communication: Strong verbal and written communication skills.</li>
</ul>Preferred Qualifications
<ul>
 <li>Knowledge of distributed systems.</li>
 <li>Knowledge of AWS services: compute, networking, storage, databases, messaging queues, serverless, and observability.</li>
 <li>Experience with containerization and orchestration tools such as Docker and Kubernetes.</li>
 <li>Previous experience in financial services or fintech is a significant advantage.</li>
 <li>Graph RAG: Proficiency in using Graph RAG for complex data relationships and insights.</li>
 <li>Experience with cloud platforms such as AWS, Google Cloud, or Azure.</li>
 <li>Previous experience in a similar role or the lending industry.</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank" rel="nofollow">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank" rel="nofollow">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - Software Engineer - Associate - Dallas

Software Engineer

4+ years of professional software engineering; strong Java with Spring; AWS; CI/CD; experience with microservices, API development, and AI-related tasks; Bachelor's in CS/IT or related field.

Asset & Wealth Management

What We Do
At Goldman Sachs, our Engineers don't just make things — we make things possible. The WM Data Engineering team within Asset &amp; Wealth Management builds the cloud-native data platform that underpins Wealth Management globally — spanning Lakehouse architecture on AWS, ETL/ELT pipelines, data governance, and AI-powered tooling that accelerates how we build and operate at scale.
Our AI Solutions Engineering function designs and delivers intelligent agent-based workflows and LLM-powered applications that transform how engineers and business teams work across the WM Data ecosystem.
Who We Look For
We are seeking a motivated AI Solutions Engineer to contribute to the design and delivery of production AI systems within a data engineering organization. You are intellectually curious, write clean tested code, and are excited about building AI applications at the intersection of large language models and real-world data infrastructure.
Responsibilities
<ul>
 <li>Build and maintain AI-powered data engineering tools — LLM agents for pipeline generation, schema mapping, data quality analysis, and migration — integrated with the WM data platform (S3, Databricks, Snowflake, Glue, Athena, MWAA)</li>
 <li>Build and iterate on evaluation frameworks (LangSmith, RAGAS, PromptFoo) to measure and improve AI output quality across data engineering workloads</li>
 <li>Write well-tested, production-quality code with comprehensive unit and integration tests for AI components</li>
 <li>Implement responsible AI practices in every system: output guardrails, prompt injection defenses, PII handling, and audit logging — especially critical when operating on sensitive financial data</li>
 <li>Implement and maintain backend services and APIs that expose AI-driven data tooling platform engineers and internal stakeholders</li>
 <li>Collaborate with senior engineers, data architects, and business stakeholders to scope requirements, prototype solutions, and ship iteratively</li>
 <li>Actively seek feedback, grow technical breadth across AI and data engineering, and contribute to team knowledge-sharing</li>
</ul>
Basic Qualifications
<ul>
 <li>3+ years of software engineering experience, including hands-on work with machine learning models or AI application development</li>
 <li>Proficiency in Java, Python, and SQL; hands-on experience with LLM APIs or agentic frameworks (OpenAI, Anthropic, LangChain, or similar)</li>
 <li>Familiarity with agentic patterns: tool use, multi-step reasoning, and structured output generation</li>
 <li>Understanding data engineering concepts — ETL/ELT pipelines, data warehousing, data lake architectures, or cloud data services (S3, Glue, Databricks, Snowflake, Athena)</li>
 <li>Awareness of responsible AI concerns — prompt injection, hallucination risk, output guardrails, data leakage</li>
 <li>Strong analytical and problem-solving skills; effective written and verbal communication</li>
</ul>
Preferred Qualifications
<ul>
 <li>Experience with AI evaluation frameworks (LangSmith, RAGAS, PromptFoo, or equivalent)</li>
 <li>Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda)</li>
 <li>Familiarity with Model Context Protocol (MCP) or similar standards for tool integration with LLM agents</li>
 <li>Exposure to pipeline orchestration tools (Airflow/MWAA, Step Functions) or Lakehouse patterns (Iceberg, Databricks, Snowflake)</li>
 <li>Experience in financial services or regulated data environments</li>
</ul>
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at&nbsp;<a href="http://gs.com/careers" target="_blank" rel="nofollow">GS.com/careers</a>.&nbsp;
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:&nbsp;<a href="https://www.goldmansachs.com/careers/footer/disability-statement.html%C2%A9" target="_blank" rel="nofollow">https://www.goldmansachs.com/careers/footer/disability-statement.html©</a>
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Asset & Wealth Management - AI Solutions Engineer - Associate - Dallas

3+ years software engineering; proficiency in Java, Python, SQL; experience with LLM APIs or agent frameworks; data engineering knowledge; strong problem-solving and communication.

<p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow-wrap:break-word;padding-bottom:12px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;" data-testid="dialog-markdown-paragraph">&nbsp;<p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow-wrap:break-word;padding-bottom:12px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;" data-testid="dialog-markdown-paragraph"> If you are excited about shaping the future of technology and driving significant business impact in financial services, we are looking for people just like you. Join our team and help us develop game-changing, high-quality solutions.<p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow-wrap:break-word;padding-bottom:12px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;" data-testid="dialog-markdown-paragraph">As a Principal Architect at JPMorganChase within Asset and Wealth Management you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions.<p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin:0px;orphans:2;overflow-wrap:break-word;padding-bottom:12px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;" data-testid="dialog-markdown-paragraph"> As a Generative AI Executive Director, you will lead the design and delivery of production-grade LLM systems that power mission-critical products for thousands of professionals. Your technical leadership will empower teams to innovate and accelerate the adoption of AI at scale. You will collaborate with cross-functional teams to bridge advanced AI research with robust engineering, ensuring our solutions are reliable, secure, and built for real business impact.Job Responsibilities:<ul style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin-bottom:16px;margin-top:0px;orphans:2;padding-bottom:0px;padding-top:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><li style="margin-bottom:8px;">Architects scalable APIs and agentic workflows, enabling automation and efficiency across the firm</li><li style="margin-bottom:8px;">Architects and delivers production LLM-based systems for text, image, speech, and video applications</li><li style="margin-bottom:8px;">Collaborates closely with ML Engineering, Product Management, and Cloud Engineering to ensure reliability and security</li><li style="margin-bottom:8px;">Bridges advanced AI research with robust engineering to build innovative, scalable, production-ready solutions</li><li style="margin-bottom:8px;">Drives results with an entrepreneurial mindset in a fast-paced, high-impact environment</li><li style="margin-bottom:8px;">Actively advocates for firmwide frameworks, tools, and practices of the Software Development Life Cycle</li></ul>Required Qualifications, Capabilities, and Skills:<ul style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin-bottom:16px;margin-top:0px;orphans:2;padding-bottom:0px;padding-top:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><li style="margin-bottom:8px;">Formal training or certification on software engineering concepts and 7+ years applied experience</li><li style="margin-bottom:8px;">Holds a Masters or possesses equivalent experience in Computer Science, Mathematics, Statistics, or a related quantitative discipline</li><li style="margin-bottom:8px;">Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)</li><li style="margin-bottom:8px;">Experience with Java, Python, Java Spring, ORM frameworks, Agentic AI frameworks (a2a, langGraph), messaging frameworks, unit and automated testing frameworks (BDD, Functional &amp; Performance), and databases</li><li style="margin-bottom:8px;">Demonstrates extensive hands-on experience in software engineering and ML engineering, with a proven track record of shipping production systems</li><li style="margin-bottom:8px;">Advanced knowledge of software architecture, applications, and technical processes with in-depth expertise in one or more technical disciplines (e.g., cloud, AI, ML, distributed systems)</li><li style="margin-bottom:8px;">Architects and implements high-throughput, low-latency microservices with WebSocket, gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing</li><li style="margin-bottom:8px;">Hands-on practical experience delivering system design, application development, testing, and operational stability</li></ul>Preferred Qualifications, Capabilities, and Skills:<ul style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);color:rgb(0, 0, 0);font-family:&quot;Open Sans&quot;, Inter, Avenir, Helvetica, Arial, sans-serif;font-size:14px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;margin-bottom:16px;margin-top:0px;orphans:2;padding-bottom:0px;padding-top:0px;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><li style="margin-bottom:8px;">Knowledge of advanced agentic workflows, including multi-agent coordination, stateful task management, and integration with enterprise event-driven architectures</li><li style="margin-bottom:8px;">Agent Guardrails and Evaluation frameworks</li><li style="margin-bottom:8px;">Excellent communication and presentation skills</li></ul>&nbsp;<h3>About Company</h3><div>J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​</div><h2>Company</h2><div><div>
 <div>
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 </div>
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 We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.&nbsp;
 <div>
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our&nbsp;<a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" target="_blank" rel="nofollow">FAQs</a>&nbsp;for more information about requesting an accommodation.
 JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans
 </div>
 </div>
</div></div>

Principal Architect: Transformative AI

Principal Architect

7+ years software/ML engineering; Masters or equivalent; cloud (AWS/Azure); containers (Docker/Kubernetes); Java, Python; AI/agentic frameworks; proven production systems delivery.

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