Location: Atlanta, GA
This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.
The Gen AI Engineer III is responsible for the delivery of end to end system development and maintenance on complex technology systems within assigned client group, business unit or corporate department.
How you will make an impact:
Development on medium to large complex customer technology platforms or architectures, including 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.
Maintains active relationships with internal and/or external stakeholders to develop business requirements and integrate AI into workflows and delivery tools in partnership with Product Managers, Product Owners, Analysts, and Engineers.
Analyzes and classifies complex change request and identifies and documents possible system/code enhancements; collaborates with engineers and graphic designers to review and evaluate possible enhancements.
Works with development team to develop and define application scope and objectives and prepare functional and/or technical specifications.
Analyzes and evaluates detailed business and technical requirements; understands the product and analytics and drives requirements that take into account stakeholders needs.
Model evaluation and quality measurement; improves AI output quality through prompt optimization and model tuning (as applicable).
Convert unstructured inputs into structured artifacts aligned to internal standards and historical patterns (e.g., requirements, specs, user stories, test cases).
Demonstrates knowledge of industry trends, responsible AI, data privacy, and secure handling of sensitive information.
Identifies problems/risks and system deficiencies; supports continuous improvement of production stability.
Codes and maintains complex components of information systems; mentors others on coding standards and performs code reviews.
Partner with QA to review test cases, assess adjacent code/regression impact, and support defect triage/fixes through system testing and re-validation; develops and performs system testing, fixes defects identified during testing, and re-executes unit tests to validate results.
Aids in integrating activities with other IT departments for successful implementation and support of project efforts.
Support operational readiness: logging/monitoring, troubleshooting, incident support and on-call rotations (as needed); provides on call support, monitors the system, and identifies system deficiencies.
Minimum Qualifications:
Requires a BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 3 years experience on one platform, multi database, multi language or multi business application; or any combination of education and experience, which would provide an equivalent background.
Preferred Skills, Capabilities and Experiences:
Experience with US healthcare, payer, claims, clinical, HIPAA, PHI, regulated industry, or enterprise security experience preferred.
Project experience including Agile project management, Scaled Agile Frameworks (SAFE) preferred.
Knowledge of Agile/SAFe delivery and portfolio management tools preferred.
Strong communication skills and ability to explain AI concepts to non-technical audiences preferred.
Experience integrating AI into tools such as JIRA or similar delivery platforms preferred.
Strong software engineering fundamentals including, cloud-native development, APIs and microservices, CI/CD, automated testing, and secure SDLC strongly preferred.
Experience building or integrating AI agents, tool/function calling, RAG, memory, model routing, evaluations, guardrails, observability, and secure API/tool access strongly preferred.
Experience with Amazon Bedrock AgentCore, including AgentCore Runtime, Memory, Identity, Gateway, Code Interpreter, Browser Tool, Observability, Evaluations, and Policy is strongly preferred.
Experience building LLM or SLM applications preferred.
Ability to review, test, and harden AI-generated code preferred.
Production support experience preferred.
Job Level: Non-Management Exempt
Workshift: Job Family: IFT > Engineering/Dev