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<h1>Lead AI Solutions Architect – Full Stack (Incubation Team)</h1><h2></h2>We are seeking a Lead AI Solutions Architect – Full Stack to join our Incubation Team, where we explore, prototype, and validate next-generation Generative AI (GenAI) and Agentic AI solutions. This position is a hands-on leadership role requiring practical expertise in Agentic AI, data science, engineering, and solution architecture. It demands close collaboration with product and engineering teams, as well as providing technical guidance across incubation projects.This role is ideal for a builder–thinker who thrives in ambiguity, can rapidly learn new business domains, and enjoys turning complex workflows and user problems into demo-ready, production-minded AI solutions. The role focuses on proof-of-concept development, architectural guidance, and effective handoff to Product Engineering teams.<h2>Key Responsibilities:</h2><ul><li>Partner with Product Leads and Product Managers to understand workflows, user needs, and business problems across multiple product areas.</li><li>Apply design thinking and Lean UX principles to identify AI-first opportunities that create customer and business value.</li><li>Design, prototype, and validate Generative AI and Agentic AI solutions through rapid proof-of-concept development.</li><li>Build demo-ready prototypes using Python for AI workflows and Angular or React for user-facing experiences.</li><li>Design reference architecture and technical guidance to enable effective handoff to Product Engineering teams.</li><li>Provide technical direction and mentorship to junior or offshore team members as needed.</li><li>Collaborate closely with UX Design, UX Research, Engineering, and other cross-functional stakeholders.</li><li>Present, demo, and communicate AI concepts and solutions to senior leaders and customers.</li></ul><h2>Technical Skills &amp; Platform Expertise</h2><ul><li>Strong proficiency in Python, with hands-on experience building AI services and orchestration layers using FastAPI or similar modern Python frameworks.</li><li>Hands-on experience designing and implementing Generative AI and Agentic AI solutions, including multi-step reasoning workflows, tool-based agents, and agent-to-agent communication patterns.</li><li>Deep experience with Retrieval-Augmented Generation (RAG) architectures, including semantic search, embeddings, vector databases, and chunking/indexing strategies for enterprise content.</li><li>Proficiency with Python-based GenAI frameworks such as LangChain, LlamaIndex, or equivalent orchestration frameworks.</li><li>Experience working with large-scale structured and unstructured data, including data preparation, transformation, and evaluation.</li><li>Strong understanding of AI safety, governance, guardrails, and hallucination mitigation techniques.</li><li>Experience designing API-driven, cloud-agnostic architectures for AI systems, including familiarity with MCP and integration patterns.</li><li>Working knowledge of modern front-end frameworks (Angular or React) to support demo-ready user experiences.</li><li>Familiarity with SQL and NoSQL data stores.</li><li>Awareness of containerization and cloud platforms (Azure and/or AWS) at a design and architecture level to support downstream handoff.</li></ul>Ways of Working<ul><li>Comfortable working in high-ambiguity, fast-moving incubation environments.</li><li>Able to rapidly learn new domains and context switch across problem spaces.</li><li>Strong problem-solving and analytical thinking skills.</li><li>Effective collaborator with distributed and offshore teams.</li><li>Confident engaging with senior executives and customers.</li></ul><h2>Qualifications:</h2><ul><li>Master’s degree in computer science, Data Science, Engineering, or bachelor’s degree with equivalent experience.</li><li>10&#43; years of experience in Solutions Architecture, Full Stack Engineering, GenAI/Agentic AI, Data Science, AI/ML, or Applied AI Engineering</li><li>Proven experience leading complex AI initiatives and mentoring others.</li></ul><h2>Preferred Qualifications</h2><ul><li>Experience with knowledge graphs or graph-based data models.</li><li>Experience with multi-modal AI systems.</li><li>Background in enterprise SaaS, compliance, or other regulated domains.</li></ul><h2>Enablement</h2>Willingness to complete internal GenAI platform training and certification.<h2>Our Interview Practices</h2>To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process. Compensation:$128,900.00 - $226,050.00 USD This role is eligible for Bonus.Compensation range listed is based on primary location of the position.  Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process. <h2>Additional Information:</h2>Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, &amp; Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

Lead AI Solutions Architect - Full Stack

Lead AI Solutions Architect

Leadership-focused AI solutions architect with 10+ years in full-stack engineering, GenAI/Agentic AI, data science, AI/ML, and applied AI engineering; proven leadership and mentoring experience.

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.Role SummaryThe Manager, AI &amp; Emerging Technology Risk is a client-facing consulting leader who combines AI engineering and solution architecture with deep understanding of Risk functions (e.g., operational risk, model risk management, compliance, fraud/financial crime, credit risk, and enterprise governance). The role leads engagements to design, develop, and deploy production-grade AI/GenAI solutions that are secure, auditable, and aligned to regulatory expectations—while advising executives and technology teams on risk-by-design operating models, controls, and governance. The Manager partners with client engineering, data, and risk stakeholders to translate business and control requirements into implementable architectures, drive delivery from prototype to production, and operationalize monitoring and governance across data, models, and platforms.Key ResponsibilitiesAI Engineering &amp; GenAI Solution Delivery (Risk Use Cases)<ul><li>Design and implement AI/GenAI solutions for Risk use cases (e.g., risk intelligence, control testing, issue management, fraud detection, regulatory response) across data ingestion, feature engineering, model development, evaluation, and deployment</li><li>Engineer secure reference architectures for AI platforms (cloud, data/feature stores, model registry, vector databases, API gateways) including GenAI patterns (RAG, tool use, agents) with embedded guardrails for access, prompt/data leakage, isolation, and resilience</li><li>Operationalize Responsible AI and Model Risk practices through measurable tests (bias/fairness, robustness, explainability), documentation (model cards, data sheets), human-in-the-loop design, and continuous monitoring/drift management</li></ul>Risk Governance, Controls &amp; Regulatory Alignment <ul><li>Translate Risk requirements into technical control objectives and implementation details across the AI lifecycle (data, model, platform, SDLC), including evidence collection and audit-ready traceability</li><li>Map AI/GenAI risks and controls to enterprise risk management (ERM) and technology risk frameworks, coordinating with Model Risk, Compliance, Privacy, and Security teams to meet policy and regulatory expectations</li><li>Design and implement AI governance operating models (intake, use-case classification, approval gates, RACI, and exception handling) that integrate with SDLC/MLOps release processes for both ML and LLM-based systems</li></ul>MLOps/LLMOps, Platform Engineering &amp; Production Deployment <ul><li>Partner with client engineering and data teams to design end-to-end system flows (APIs, eventing, data pipelines) and integrate AI services into Risk platforms and workflows</li><li>Build and assess MLOps/LLMOps practices including CI/CD, infrastructure-as-code, automated testing/evaluation, model/Prompt/versioning, and release gates aligned to Risk and control requirements</li><li>Identify gaps in production readiness for AI systems (observability, drift/quality monitoring, secrets management, throughput/latency, failover, and incident response) and implement pragmatic remediation patterns</li></ul>Advisory &amp; Enablement<ul><li>Lead client workshops, discovery sessions, and design reviews to align Risk stakeholders and engineering teams on target-state AI/GenAI architectures and delivery approach</li><li>Develop risk-focused training materials and deliver enablement sessions for technical and non-technical audiences, including executive briefings</li><li>Coach and develop junior team members, providing technical oversight and quality control across AI engineering, governance, and risk deliverables</li><li>Produce high-quality client deliverables (risk assessments, architecture patterns, implementation roadmaps, and executive summaries) with clear recommendations, trade-offs, and implementation steps</li><li>Support engagement management by helping scope workstreams, define milestones, manage stakeholder expectations, and ensure on-time delivery and quality</li><li>Contribute to business development through proposal writing, solution positioning, and creation of reusable assets (playbooks, accelerators, reference architectures) for Risk-focused AI offerings</li></ul>Experience, Skills &amp; Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related field (or equivalent practical experience)</li><li>5–7&#43; years of experience delivering production technology solutions, with meaningful depth in AI/ML or GenAI engineering and experience in risk, compliance, audit, or other regulated environments</li><li>Job relevant certification (i.e. Azure, Aws, or AI certifications)</li></ul>Preferred Qualifications<ul><li>Hands-on experience with modern ML/GenAI stacks (e.g., Python, model development frameworks, embedding/RAG workflows) and the ability to design for evaluation, safety, and controllability</li><li>Experience engineering and/or assessing AI platforms on cloud infrastructure, including IAM, encryption/secrets management, network controls, data governance/lineage, and environment segregation</li><li>Strong software engineering fundamentals: APIs and service design, data pipelines, testing, code review, CI/CD, and operating production services</li><li>Ability to translate architecture decisions into Risk impacts (control effectiveness, regulatory exposure, third-party risk, operational resilience) and define concrete technical mitigations</li><li>Consulting delivery skills: requirements elicitation, workplan development, facilitation, and managing dependencies across client teams</li><li>Experience producing model/GenAI governance artifacts (validation support, testing results, lineage, change logs) and partnering with Model Risk and audit stakeholders through approvals</li><li>Executive-ready communicator with experience translating technical concepts into clear business and Risk narratives, influencing stakeholders, and presenting recommendations to senior leadership</li></ul>At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life’s demands, while also maintaining your ability to serve clients. Learn more about our total rewards at <a target="_blank" href="https://rsmus.com/careers/working-at-rsm/benefits">https://rsmus.com/careers/working-at-rsm/benefits</a>.All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at <a target="_blank" href="mailto:careers&#64;rsmus.com">careers&#64;rsmus.com</a>.RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please <a target="_blank" href="https://rsmus.com/content/dam/rsm/careers/pdf/rsmus_pre-employment-background_checks.pdf">click here</a> for additional information.At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.Compensation Range: $101,000 - $203,000<div><div><div><div><div><div><div><div><div><div><div><div><div><div>Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.</div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Manager, Technology Risk Consulting - AI and Emerging Technology Risk

Manager

5–7 years delivering production technology solutions with AI/ML or GenAI; risk/compliance experience; degree in CS/Engineering/Data Science; relevant certifications.

Digital Transformation Architect, Senior ManagerThe Opportunity:Take ownership of shaping solution approaches that align with CMS expectations, ensuring they can be successfully delivered and clearly understood by CMS clients. Apply your knowledge of CMS program environments, business processes, and day‑to‑day operational workflows to support high‑visibility captures, proposals, and programs. Use your understanding of CMS systems and interfaces to identify opportunities for growth and to communicate effectively with project teams, capture teams, senior leadership, and other stakeholders. Provide a high‑level view of solution option, showing how they fit within CMS’s current ecosystem and long‑term goals, and highlight their potential to improve efficiency, follow industry best practices, and support sustainable modernization. Stay familiar with evolving CMS standards, federal requirements, and industry trends that influence how CMS manages and advances its technology landscape. Help guide CMS’s transformation by supporting efforts such as modernizing legacy workflows, improving user experiences across CMS platforms, and integrating enhanced capabilities where they make the most impact. Mentor future technologists and developers so they can grow into solution leaders who understand how CMS truly operates.You Have:<ul><li>10&#43; years of experience with multi-disciplinary solutions for CMS across analytics, big data, cybersecurity, software engineering, predictive analytics, AI/ML, and Agentic AI</li><li>3&#43; years of experience with the direct management of complex solutions and development proposal efforts for CMS in excess of $150M</li><li>Experience in solution architecture, including data and analytics for enterprise infrastructure</li><li>Experience designing scalable, secure, performant, and robust Agentic AI solutions within federal cloud hosting environments</li><li>Experience with the CMS procurement process and responding to solicitations</li><li>Knowledge of modern software design patterns, including microservices, event driven architecture, and agentic workflows</li><li>Knowledge of programming languages such as Java, Python, or C#, Cloud Service Providers such as AWS, Azure, or GCP, DevOps or DevSecOps tools such as Jenkins, Docker, Kubernetes, Artifact Management, or SonarQube, and data engineering, including SQL, ETL/ELT, streaming, orchestration, or integration</li><li>Knowledge of CMS programs, systems, and clients</li><li>Ability to lead teams and stakeholders of all levels throughout the solutioning process</li><li>Bachelor&#39;s degree</li></ul>Nice If You Have:<ul><li>Experience developing and maintaining effective internal and external business relationships with clients and industry partners</li><li>Experience with the business development lifecycle, including capability marketing, and applying solution-selling methodologies</li><li>Ability to communicate multi-step and interdependent activities effectively to ensure efficient execution of captured efforts</li><li>Master&#39;s degree</li><li>Associate or Professional level AWS, Azure, or GCP Cloud Certification</li><li>Associate level Artificial Intelligence or Machine Learning Certification</li></ul>CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $162,800.00 to $303,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.Candidate AI Usage PolicyAI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>Commitment to Non-DiscriminationAll qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Digital Transformation Architect, Senior Manager

Digital Transformation Architect

Senior-level architect with 10+ years CMS analytics, big data, cybersecurity, software engineering, AI/ML; 3+ years leading complex CMS proposals; bachelor’s degree; strong leadership and collaboration skills.

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