AI/ML Engineer (Python)

About the role

We are seeking a hands-on AI/ML Engineer to define how AI is built, evaluated, and operated across our portfolio. You will own the technical depth of our AI capability — LLM applications, classical ML, and emerging agentic patterns — in production, at scale, in a regulated environment.

Responsibilities

• Design and build production AI/ML systems — LLM applications, classical ML, and emerging agentic patterns
• Own the full lifecycle: data preparation, model selection, fine-tuning/prompt engineering, evaluation, deployment, and monitoring
• Build evaluation frameworks and safety guardrails for LLM-based systems handling sensitive data
• Partner with Data, Engineering, and Security teams to architect AI workloads that meet HIPAA and SOC 2 standards
• Productionize models — APIs, pipelines, observability, drift detection, retraining loops
• Contribute to our AI architecture and platform decisions: model gateways, vector stores, RAG patterns, agent frameworks

Requirements

• 6+ years of Python engineering; 3+ years building production ML or LLM systems
• Deep hands-on experience with at least one major LLM provider (Azure OpenAI, Anthropic, AWS Bedrock) and frameworks such as LangChain, LlamaIndex, LangGraph, or equivalent
• Strong foundation in ML evaluation, prompt engineering, RAG, fine-tuning, and model observability
• Experience deploying models on cloud infrastructure; MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar)
• Healthcare or regulated-industry experience strongly preferred; familiarity with HIPAA technical safeguards required

Qualifications

• Pragmatic engineer who can scope, ship, and measure — not a research-only profile