Explore 2 ai python software engineer jobs from 2 hiring companies in Stoughton, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Python Software Engineer

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Ai Python Software Engineer Jobs

Nelnet

State of Wisconsin Investment Board

Hybrid

Remote

Swib

Sophisticated Work. In a Great City. Making a Difference.The State of Wisconsin Investment Board (SWIB) manages more than $178 billion in assets, including those of the fully-funded Wisconsin Retirement System (WRS). SWIB operates at a level more often seen in top-tier global asset managers than in typical public pension funds. SWIB is a home for top talent. Approximately 61 percent of SWIB’s investment professionals are Chartered Financial Analyst (CFA) charterholders. The City of Madison, the state capitol and home of Wisconsin’s flagship university, makes regular appearances on lists of best places to live, eat, and play. SWIB offers a modern workspace, hybrid work options, and competitive compensation and benefits. Serving over 703,000 WRS beneficiaries, SWIB is driven by a clear mission: securing the financial future of those who serve Wisconsin. When you work at SWIB, you know your work matters.Job Description:<div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>Applicants on an OPT, CPT visa or anyone requiring H-1B transfers or sponsorship into the H-1B lottery will not be considered for this position.</div></div></div></div></div></div></div></div></div>What You’ll Do<ul><li>Design, build, and maintain production-grade APIs and system integrations that support critical workflows</li><li>Own the end-to-end lifecycle of services and applications, from design and implementation through deployment, monitoring, and iteration</li><li>Build automated, cloud-native workflows, including thoughtful use of AI capabilities where they provide clear business value</li><li>Contribute to user-facing interfaces that make complex workflows understandable and efficient for end users</li><li>Design and manage data models and persistence layers, including schema design, performance tuning, and troubleshooting</li><li>Deploy and operate applications in cloud environments using best practices for security, reliability, observability, and cost awareness</li><li>Apply AI pragmatically — both as a development accelerator and, where appropriate, as part of production systems (e.g., LLMs, vector search, NLP APIs)</li><li>Participate actively in code reviews, design discussions, and technical decision-making, raising the quality bar for the team</li><li>Mentor and support less-experienced engineers through pairing, reviews, and knowledge sharing</li><li>Collaborate closely with technical and non-technical partners to translate business needs into clear, maintainable technical solutions</li><li>Contribute to the evolution of engineering standards, patterns, and tooling within the team and broader organization</li></ul>What You Bring<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li><li>5&#43; years of professional software development experience (or equivalent demonstrated impact)</li><li>Strong proficiency in Python, with experience building and maintaining production-grade systems</li><li>Solid experience working with databases (SQL and/or NoSQL), including data modeling and performance considerations</li><li>Hands-on experience with cloud platforms such as Azure, AWS, or GCP</li><li>Proven experience designing, building, and delivering end-to-end software systems in real world production environments</li><li>Familiarity in finance and in financial systems (e.g., financial data, instruments, reporting, or workflows), and interest in applying technology in this domain</li><li>Experience with or strong interest in AI technologies, such as LLMs, vector databases, or NLP APIs</li><li>Sound technical judgment and the ability to balance delivery speed, quality, and long-term maintainability</li><li>Strong communication skills and a collaborative, team-oriented mindset</li></ul>What You’ll Gain<ul><li>Ownership of meaningful, high-impact systems used across the organization</li><li>Opportunities to influence architecture, technical standards, and engineering practices</li><li>Hands-on work with modern cloud and AI technologies in real-world production use cases</li><li>Close partnership with stakeholders across engineering, data, and business teams</li></ul><div></div><div>SWIB Offers:</div><div></div><ul><li>Competitive total cash compensation, based on AON (formerly McLagan) industry benchmarks</li><li>Comprehensive benefits package</li><li>Educational and training opportunities</li><li>Tuition reimbursement</li><li>Challenging work in a professional environment</li><li>Hybrid work environment</li></ul><div></div><div>The position requires U.S. work authorization.</div><div></div><div>Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely, but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office. Staff are not required to reside locally; however, we offer relocation reimbursement to the Dane County area per our policy.</div><div></div><div>All SWIB employees are subject to SWIB’s Ethics Policy and Personal Trade Approvals Policy. These policies include restrictions on outside business activities and employment and have limits on personal trading. You may request copies of these policies from SWIB’s talent acquisition team and any questions can be answered by SWIB’s compliance team.</div>

Senior Software Engineer

5+ years of software development; strong Python; SQL/NoSQL databases; cloud platforms (Azure/AWS/GCP); finance domain familiarity; AI/NLP/LLMs; strong collaboration.

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you&#39;re part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.The Cybersecurity AI Automation Engineer at Nelnet plays a critical role in advancing the organization's cybersecurity capabilities through intelligent automation and AI-driven solutions. This position partners closely with cybersecurity and internal teams to design, build, and deploy automated workflows that increase operational efficiency, reduce manual effort, and surface actionable insights. This role requires strong technical acumen, practical problem-solving, and a collaborative mindset to deliver scalable solutions within Nelnet's AI infrastructure. You will: •	Design and deploy AI-powered automation pipelines that support operational workflows. •	Integrate automation solutions within Nelnet's existing AI infrastructure — LLM APIs, orchestration platforms, and workflow tooling. •	Consult with internal teams to eliminate manual, repetitive processes across cybersecurity operations through scalable AI solutions. •	Apply DevSecOps principles throughout the software delivery lifecycle. •	Collaborate with stakeholders to translate business and compliance requirements into well-scoped automation solutions. •	Continuously evaluate emerging AI and automation capabilities for opportunities across cybersecurity team workflows.AI Automation &amp; Solutions Engineering<ul><li>Design, develop, and deploy AI-powered automation pipelines and tools that support cybersecurity and partner teams, with an emphasis on operational workflows and business processes.</li><li>Build and integrate automation solutions within Nelnet&#39;s existing AI infrastructure, including LLM APIs, orchestration platforms, and workflow tooling, to ensure consistency, reuse, and long-term maintainability.</li><li>Consult with internal teams to eliminate manual, repetitive processes by engineering scalable AI solutions that drive measurable workflow efficiencies.</li><li>Apply DevSecOps principles throughout the software delivery lifecycle, embedding security, testing, and quality practices into every phase of solution development and deployment.</li><li>Collaborate with business stakeholders to translate business and compliance requirements into well-scoped automation solutions, ensuring delivered tools align with risk program objectives and audit expectations.</li><li>Continuously evaluate emerging AI and automation capabilities to identify opportunities for improvement across cybersecurity team workflows and tooling.</li></ul>Innovation<ul><li>Bring a solutions-engineering mindset to cybersecurity challenges, exploring practical and creative applications of AI beyond conventional approaches.</li><li>Prototype and iterate on automation concepts quickly, validating feasibility in Nelnet&#39;s environment before scaling to production-ready solutions.</li><li>Stay current on developments in AI, LLM tooling, and automation frameworks, proactively introducing relevant advancements that could benefit cybersecurity operations.</li></ul>Agility<ul><li>Operate effectively in a fast-moving environment, adapting solutions as team needs, infrastructure capabilities, and security priorities evolve.</li><li>Manage multiple concurrent automation initiatives, balancing stakeholder urgency with the rigor required for reliable, production-grade delivery.</li><li>Work across domains with strong engineering fundamentals, quickly building context in cybersecurity and business processes.</li></ul>Problem Solving<ul><li>Analyze complex, manual cybersecurity workflows to identify root inefficiencies and design automation solutions that address them at the process level, not just the task level.</li><li>Troubleshoot issues across the full automation stack, from data ingestion and model integration to pipeline execution and output delivery and resolve them efficiently.</li><li>Approach ambiguous or novel use cases with structured thinking, breaking down large problems into actionable engineering work with clear outcomes.</li></ul>Collaboration<ul><li>Partner closely with cybersecurity and stakeholder teams to understand workflow pain points and define automation requirements.</li><li>Work alongside platform, infrastructure, and AI teams to ensure solutions are aligned with architectural standards and leverage shared capabilities.</li><li>Act as a bridge between technical implementation and business stakeholders, translating engineering decisions into clear, accessible language.</li><li>Mentor peers on AI automation capabilities and emerging tooling relevant to cybersecurity operations.</li></ul>Communication Skills<ul><li>Communicate clearly with both technical and non-technical audiences, adapting depth and framing to suit the audience.</li><li>Document automation solutions thoroughly, including design decisions, integration dependencies, and operational runbooks to ensure maintainability.</li><li>Present work in progress and completed solutions clearly, incorporating feedback and demonstrating responsiveness.</li></ul>Strategic Focus<ul><li>Align automation efforts to Nelnet&#39;s broader cybersecurity strategy and AI infrastructure investments, ensuring solutions contribute to long-term program goals.</li><li>Prioritize high-impact opportunities that reduce risk, improve consistency, and free up capacity for higher-value work.</li><li>Design solutions with scalability and reuse, enabling adoption across teams and use cases.</li><li>Serve as a trusted advisor on AI automation and help shape how cybersecurity teams adopt and benefit from these capabilities.</li></ul>EDUCATION: Knowledge equivalent to the completion of a Bachelor&#39;s degree in Computer Science, Software Engineering, Information Systems, or a related field of study.EXPERIENCE:<ul><li>2–4 years of experience in AI/ML engineering, automation development, solutions engineering, or DevOps/DevSecOps.</li><li>Hands-on experience building and integrating with LLMs or AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models).</li><li>Proven experience developing automated workflows, data pipelines, or AI-driven solutions in production environments.</li><li>Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, n8n, or similar) and prompt engineering practices.</li><li>Experience with GRC or risk/compliance process automation is a plus.</li><li>Security certifications (Sec&#43;, CISSP, etc.) not required but is a plus.</li></ul>COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:Required:<ul><li>Proficiency in Python or a comparable language for building AI and automation solutions.</li><li>Experience integrating LLMs and AI APIs into enterprise workflows and tooling.</li><li>Experience building and maintaining automated pipelines, including data ingestion, transformation, and output delivery.</li><li>Familiarity with DevSecOps principles and secure software development practices.</li><li>Working knowledge of AI orchestration tools and the ability to evaluate and adopt new technologies as the landscape evolves.</li><li>Strong communication skills, with the ability to translate business needs into technical solutions.</li><li>Ability to work within existing AI infrastructure to identify inefficiencies and deliver scalable improvements.</li><li>Excellent organizational, presentation, verbal, and written communication skills.</li><li>Ability to assess and clearly communicate complexity, trade-offs, and technical decisions to both engineering and management stakeholders.</li><li>Demonstrated ability to stay current with emerging technologies and adapt to evolving business and technical environments.</li></ul> Preferred:<ul><li>Experience with GRC platforms such as ServiceNow, Archer, or similar.</li><li>Familiarity with cybersecurity domains (e.g., vulnerability management, compliance) or exposure to operational security workflows.</li><li>Cloud infrastructure experience (AWS, Azure, or GCP), particularly in deploying or managing AI/ML services.</li><li>Experience with compliance or business process automation use cases.</li><li>Knowledge of cyber defense operations or security tooling ecosystems.</li></ul>Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.**Pay Range for this role is - $100,000 - $135,000Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance &amp; AD&amp;D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: <a href="http://nelnetinc.com/careers/benefits/" target="_blank">LINK</a>.Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.  Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or <a href="mailto:corporaterecruiting&#64;nelnet.net" target="_blank">corporaterecruiting&#64;nelnet.net</a>.Nelnet is a Drug Free and Tobacco Free Workplace.

CyberSecurity AI Automation Engineer

2–4 years in AI/ML engineering, automation development, or DevOps/DevSecOps; hands-on with LLMs/AI APIs; experience building automated workflows and data pipelines; knowledge of AI orchestration and DevSecOps.

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Ai Python Software Engineer Jobs in Stoughton, WI, US

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