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Posted: 10/21/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in architecting and building production Generative AI systems using Python and React, with a strong focus on AWS, Terraform, and GitHub Actions. Proven ability to lead technical solution design, mentor engineering teams, and optimize performance for business-critical AI services.
Highest-signal resume keywords
Generative AI Systems OwnershipPython ProgrammingAWS Cloud ServicesTechnical Solution DesignFull-Stack Engineering
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own the technical outcome of a value-stream pod from problem shaping through production operation
- Partner with business transformation leadership, examiners, nurse reviewers, and operations to shape ambiguous problems
- Architect and personally build production Generative AI agents, workflows, and applications using Python and React
- Set and enforce engineering standards for API-first and contract-first delivery, AWS, Terraform, GitHub Actions, evaluation, observability, and human confirmation
- Ensure capabilities land on shared substrate rather than being duplicated
- Define interface terms with vendor delivery teams for co-developed work
- Establish evaluation, provenance, and autonomy-ladder evidence for AI workflows
- Lead technical solution design and architectural review
- Represent the pod on the AI Engineering design council
- Provide technical guidance and mentoring to Senior and Junior AI Engineers
- Lead complex troubleshooting, root cause analysis, and performance optimization for business-critical AI services and platforms
- Evaluate whether capabilities should be built in-house, co-developed with a vendor, or not built
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related quantitative discipline from an accredited college or university required
- Ten (10)+ years of software engineering experience
- At least four (4) years owning production Generative AI or applied-AI systems in the field
- Equivalent combination of education and experience accepted
- Hands-on production experience on AWS
- Hands-on Python, React, GitHub Actions, and Terraform experience
- Experience leading technical delivery for a value stream or equivalent without people-management authority
- Expert full-stack engineering skills in Python and React, with strong SQL, APIs, and service design
- Deep, hands-on AWS, Terraform, and GitHub Actions experience, including identity, networking, environments, and operational recovery
- Production command of Generative AI agents, workflows, and applications, including tool use, orchestration, evaluation, provenance, and human-in-the-loop patterns
- Ability to meet or exceed Performance Competencies
- Experience in insurance, claims, healthcare, or another heavily regulated operational domain preferred
- Experience with machine learning, model fine-tuning, and/or graph databases preferred
- Experience with PydanticAI or equivalent agent framework, agent observability, and AI Ops / LLMOps a plus
- Ability to travel as required, including regular on-site work with claims or Managed Care operations and vendor delivery teams
Benefits
Comp & perks- Work-life balance
- Caring culture
- Career growth opportunities
- Reasonable accommodation when applicable and appropriate
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonReactAWSTerraformGitHub ActionsSQLAPIsService DesignMachine LearningGraph Databases
Soft Skills
Technical GuidanceMentoringProblem SolvingCollaboration
Tools & Technologies
Generative AI AgentsAI WorkflowsHuman-in-the-Loop PatternsPydanticAIAgent Observability
Industry Keywords
InsuranceClaimsHealthcareRegulated Operational Domain