AI-Native Software Engineer Advisor Senior
About The Position
The AI-Native Software Engineer Advisor Senior ships, evaluates, secures, and supports production software systems, using AI agents and coding assistants across the software development lifecycle. This includes planning, design, codebase analysis, implementation, testing, documentation, code review, refactoring, deployment, and production support. The role includes development on agentic AI engineering technology and model evaluation and quality measurement. The position works with customers and business stakeholders to determine requirements, lead requirements-gathering meetings, and review designs. It owns change requests and the list of final enhancements, defines application scope and objectives, and oversees preparation of technical and functional specifications. The engineer conducts design and code reviews, coordinates on-call support, owns system monitoring and the technical development environment, and works on the Enterprise team. The role leads multiple or large projects, facilitates large-group JAD sessions, and leads vendor evaluation and analysis. The role is hybrid and requires in-office work three days per week. Candidates must reside within reasonable commuting distance of an office; alternate locations may be considered if within commuting distance. The position is not eligible for current or future visa sponsorship. The anticipated end date listed for the posting is November 6, 2026.
Requirements
- BA/BS degree in Information Technology, Computer Science, or a related field of study, and a minimum of 7 years of multi-platform and/or business and technical applications experience; or an equivalent combination of education and experience.
- Hands-on experience using AI to build and ship production-quality software.
- Ability to use AI agents and coding assistants across planning, design, codebase analysis, implementation, testing, documentation, code review, refactoring, deployment, and production support.
- Knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.
Nice To Haves
- Experience with healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security.
- Strong software engineering fundamentals, including cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC.
- Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access.
- Experience with Amazon Bedrock AgentCore, including AgentCore Runtime, Memory, Identity, Gateway, Code Interpreter, Browser Tool, Observability, Evaluations, and Policy.
- Experience building LLM or SLM applications.
- Ability to review, test, and harden AI-generated code.
- Production support experience.
Responsibilities
- Develop agentic AI engineering technology.
- Use AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar on a daily or weekly basis.
- Evaluate models and measure quality.
- Demonstrate knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.
- Maintain active customer relationships to determine business requirements; lead requirements-gathering meetings and review designs with the business.
- Own the change request process and coordinate with other teams as necessary.
- Develop and own the list of final enhancements.
- Define application scope and objectives and supervise preparation of technical and/or functional specifications.
- Perform technical design reviews and code reviews.
- Coordinate and manage on-call support and own the system monitoring process.
- Own the technical development environment and work on the Enterprise team.
- Lead multiple or large projects and facilitate large-group JAD sessions for requirements and modeling in several disciplines.
- Lead vendor evaluation and analysis.
- Ship, evaluate, secure, and support production-quality software systems using AI agents and coding assistants across the software development lifecycle.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase.
- 401(k) contribution.
- Merit increases.
- Paid holidays.
- Paid Time Off.
- Incentive bonus programs, unless covered by a collective bargaining agreement.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Short- and long-term disability benefits.
- 401(k) matching.
- Stock purchase plan.
- Life insurance.
- Wellness programs.
- Financial education resources.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
