> Markdown version of [/jobs/ext/4396671-senior-ai-engineer-502](https://www.wearedevelopers.com/jobs/ext/4396671-senior-ai-engineer-502). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer (502) - **Company:** Johnson Service Group PLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $114,400.0 - $145,600.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Continuous Integration, DevOps, Python (Programming Language), Role-Based Access Control, OpenAI, Azure Machine Learning, Search Technologies, Enterprise Search, Data Ingestion, Microsoft Power Automate, LangChain, Office365, Retrieval-Augmented Generation, Multi-Agent Systems, Agentic-AI, AI Platforms, Azure AI, Observability for Autonomous Agents, Key Vault, Servicenow - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=6e3861b780b3005d ## About the Role * Strong Python development experience, including Poetry. * Experience with Azure OpenAI/Azure AI Services and Azure AI Foundry. * Strong Azure AI Search experience, including hybrid, semantic, vector search, skillsets, and indexers. * Experience building agentic AI solutions using LangChain, LangGraph, and agent orchestration. * Enterprise RAG development and AI platform governance experience. * Experience with Azure Bot Service, Microsoft Teams, and Microsoft 365 Copilot. * Azure experience with Blob Storage, Logic Apps, Functions, and Azure DevOps. Nice to Have skills * ServiceNow Integration Hub experience. * Agent observability, evaluation, and trace tooling experience. * Experience operating AI systems at enterprise scale. ## Description * Build and scale Azure AI Foundry capabilities, including models, prompts, tools, orchestration, observability, and governance. * Develop agentic systems using LangChain and LangGraph with guardrails, retries, and policy-driven execution. * Deliver enterprise RAG solutions using Azure AI Search and Azure AI Embeddings. * Design automated ingestion pipelines and integrate enterprise knowledge sources. * Enable AI experiences across Azure Bot Service, Microsoft Teams, and Microsoft 365 Copilot. * Implement security, Responsible AI, PII filtering, prompt governance, RBAC, and Key Vault controls. * Drive CI/CD and DevOps practices for AI agents, prompts, skillsets, and indexes. * Lead and mentor engineers while collaborating with architecture, security, and compliance teams.