Forward Deployed AI Engineer

Requirements:

• U.S. citizenship
• 6–10+ years designing, building, deploying, and supporting production applications in enterprise or regulated environments, with a backend or platform focus
• Experience taking at least one LLM-backed or agentic workflow into production for real users and supporting it after launch, including explaining issues and resolutions
• Strong Python skills and working knowledge of TypeScript
• Hands-on experience building tool integrations or MCP servers and an evaluation harness for an LLM application
• Hands-on RAG experience, including ingestion, chunking, embeddings, hybrid search, reranking, access-controlled retrieval, and retrieval evaluation
• Fluency with Azure services, including AI Foundry, Entra ID, Data Factory, AI Search, AKS or Container Apps, Key Vault, and Azure DevOps
• Working knowledge of Snowflake
• Experience with regulated data; healthcare or HIPAA experience is strongly preferred, with financial services experience also acceptable
• Business-analysis skills, including leading discovery, defining requirements and acceptance criteria, and explaining trade-offs to executives
• Ability to clearly explain the cost and evaluation approach behind work you have built
• Healthcare payer domain knowledge, such as claims, eligibility, prior authorization, appeals, care management, NCQA, or Stars, strongly preferred
• Experience with Claude Code and the Claude Agent SDK preferred

Responsibilities:

• Set up Claude Code and Azure AI Foundry for a 20-seat developer pilot, including Entra authentication, quota management, and cost controls
• Develop guardrails, secure design patterns, and reference implementations for client engineering teams
• Build and secure MCP servers and tool integrations connecting agents to ServiceNow, Snowflake, Grafana/OpenTelemetry, Entra, and healthcare data systems
• Create an AI evaluation and test harness for prompts, retrieval, tool calls, permissions, and end-to-end workflows
• Design and deliver multi-step and agentic workflows for appeals and grievances, prior authorization, and member services
• Select the appropriate approach for each workflow, such as a deterministic workflow, single agent, or multi-agent system
• Build RAG pipelines over policy content with access controls, hybrid retrieval, citations, and grounding checks
• Implement policy-as-code and automated audit evidence for an organization audited seven times a year
• Lead discovery with business owners, document existing workflows, and translate needs into requirements, user stories, and measurable success criteria
• Instrument AI workloads for observability, including traces, token and cost telemetry, and SLOs
• Pair with client engineers and transfer knowledge so the solutions remain supportable

Technologies:

• AI
• Azure
• Backend
• Claude Code
• Cloud
• DevOps
• Grafana
• LLM
• MCP
• OpenTelemetry
• Python
• RAG
• ServiceNow
• Snowflake
• TypeScript
• Agentic AI
• Embedded

More

We are a national, AI-first technology solutions provider helping enterprise and public-sector organizations modernize through AI, cloud, collaboration, and managed services. We embed senior engineers with clients to turn AI strategies into durable production systems, and we have been nationally recognized for career growth. In this engagement, well work with a regional not-for-profit health plan that is bringing engineering in-house and growing its team from about 50 to 150. The role owns the plans enterprise AI platform and supports production workflows in a PHI-rich environment, including work connected to a Care Management System where NCQA compliance is critical. This is a six-month contract-to-hire opportunity, with a $70–$85 hourly rate and a $225,000 base salary upon conversion, plus full benefits upon conversion. The role is fully remote after an expense-paid first week onsite, with minimal travel to Providence, Rhode Island; onsite attendance is required for the full week of November 9. We value inclusive teams and welcome candidates from diverse backgrounds and non-traditional career paths.

last updated 43 week of 2026