Senior Data Scientist

Role Overview We are looking for an experienced AI Engineer Tech Lead to support strategic modernization initiative The role will focus on designing building and leading productiongrade agentic AI capabilities that enhance claim professional workflows reduce cycle time automate repetitive tasks and enable scalable AI delivery across the value stream The selected candidate will work closely with technology leads engineering teams product stakeholders and delivery teams to develop AInative solutions using LLM based reasoning multiagent orchestration RAG patterns vector search prompt management AI evaluation observability and secure deployment practices Key Responsibilities Lead the design and implementation of AIfirst and agentic AI solutions for the strategic modernization Build and integrate LLMbased reasoning capabilities into claim and operational workflows to improve efficiency and reduce manual effort Design and implement multiagent orchestration patterns using enterprisestandard AI frameworks Develop scalable Pythonbased AI services APIs MCP servers and automation components Implement RAGbased solutions using embeddings vector stores and enterprise knowledge sources Create and manage versioncontrolled prompts using prompt management practices Establish AI quality validation through response evaluation grounding checks and output testing Ensure AI security controls including PII detection guardrails and prompt injection defense Collaborate with engineering architecture product and delivery teams to convert AI concepts into productionready capabilities Provide technical leadership to developers and engineers working on AInative use cases Support CICD infrastructure automation observability and productionreadiness practices Partner with stakeholders during technical screening solution walkthroughs 
 and onboarding into PI delivery cycles 
 Required Technical Skills 
 AI Agentic AI 
 Strong handson experience in LLM application development 
 Agentic AI design and implementation experience 
 Multiagent orchestration experience 
 Prompt engineering and prompt lifecycle management 
 AI evaluation and response quality validation 
 Experience with secure AI design including guardrails and PII handling 
 Preferred AI Stack Alignment 
 AWS Bedrock 
 AgentCore 
 Claude Sonnet 
 AWS Strands SDK 
 Amazon Titan Embeddings v2 
 Bedrock Prompt Management 
 Bedrock Guardrails 
 AgentCore Evals Braintrust 
 Engineering Platform Skills 
 Strong programming expertise in Python 
 Experience building APIs using FastAPI 
 Knowledge of TypeScript and React for AIenabled UI integration 
 Experience with GitHub and GitHub Actions Infrastructure automation exposure using Terraform or AWS CDK Experience with observability and tracing using OpenTelemetry Familiarity with monitoring AI agents for latency token cost execution steps and reliability Working knowledge of Dynatrace ELK and OTel is preferred Functional Domain Expectations Ability to understand claim lifecycle workflows and identify AI automation opportunities Experience translating business problems into AIenabled workflow solutions Ability to support modernization initiatives across assisted surfaced and automated AI maturity phases Strong understanding of enterprisegrade delivery expectations not just prototype development Ability to work in SAFe PIbased delivery environments Modernization objectives include integrating LLMbased reasoning into claim professional workflows automating repetitive claim tasks using multiagent orchestration delivering productiongrade agentic AI and building a durable AI delivery model that scales across the value stream Mandatory Qualifications 8 years of software engineering experience 3 years of handson AI ML LLM engineering experience Strong Python development background Practical experience with LLMbased application architecture Experience building APIs automation services or AInative backend services Experience with cloudnative AI services preferably AWS Strong understanding of RAG embeddings vector search and prompt management Experience with CICD Gitbased development and production deployment practices Strong communication skills and ability to work with distributed engineering teams