AI Engineer III

Responsibilities: Design, build, and run governed data/feature/retrieval layers for AI/ML and GenAI solutions Deliver reproducible datasets and features with quality, lineage, and secure consumption patterns Translate product needs into secure, scalable designs (APIs, services, pipelines, containers/serverless) Operationalize LLM-enabled capabilities (co-pilots, HR knowledge assistants, summarization) with secure endpoints and prompt patterns Implement LLM application patterns (RAG, embeddings, vector search, retrieval telemetry) Deliver governed datasets and features for ML training and real-time inference (latency, backfills) Implement safety, privacy, access controls and risk governance with stakeholders Maintain data/model reliability, cost-performance, monitoring, and CI/CD processes; support runbooks and incident response Support design reviews and deployment readiness across teams

Key requirements: 4+ years building LLM/GenAI solutions with Claude/GPT(Codex)/Gemini 4+ years implementing retrieval-augmented generation (RAG) and enterprise governance 4+ years data and AI engineering including data modeling, pipelines, feature engineering, and real-time inference APIs 4+ years leading platform/integration engineering with REST, GraphQL, microservices, event-driven architecture 4+ years DevOps/DevSecOps experience including CI/CD, IaC (Terraform/CloudFormation), Docker/Kubernetes, observability 4+ years leading security/compliance efforts including IAM, encryption, audit logging, PII/privacy controls Ability to travel 0–25% Limited immigration sponsorship may be available Effective written and verbal communication Attention to detail and quality of work Relationship-building LLM/GenAI development with Claude, GPT(Codex), Gemini Retrieval-augmented generation (RAG) and document processing Data modeling and batch/streaming pipelines