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The AI-Native Software Engineer Advisor Senior will be responsible for shipping, evaluating, securing, and supporting real systems. The ideal candidate is a strong engineer who has real hands-on experience using AI to build and ship production-quality software. They should be able to use AI agents and coding assistants across the SDLC: planning, design, codebase analysis, implementation, testing, documentation, code review, refactoring, deployment, and production support.
Job Responsibility:
Development on agentic AI engineering technology
Daily or weekly use of AI coding tools such as GitHub Copilot, Cursor, Claude Code, ChatGPT, Codex-style agents, or similar
Model evaluation and quality measurement
Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information
Maintains active relationships with customers to determine business requirements, leads requirements gathering meetings and reviews designs with the business
Owns the change request process and coordinates with other teams as necessary
Develops and owns list of final enhancements
Develops and defines application scope and objectives and supervises the preparation of technical and/or functional specifications from with programs will be written
Performs technical design reviews and code reviews
Coordinates and manages on-call support and owns the system monitoring process
Owns the technical development environment and works on the Enterprise team
Leads multiple or large projects and facilitates large group JAD sessions for requirements, modeling in several disciplines
Leads vendor evaluation and analysis
Requirements:
BA/BS degree in Information Technology, Computer Science or related field of study and minimum of 7 years multi platform and/or business and technical applications
or any combination of education and experience, which would provide an equivalent background
Nice to have:
Experience with healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience
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