Lead AI Engineer
About The Position
BMC is hiring a Lead AI Engineer to build enterprise-grade agentic AI applications that help organizations operate critical systems more quickly, resiliently, and confidently. The role involves developing autonomous and semi-autonomous agents that plan, reason, make decisions, and execute tasks, as well as orchestrating multi-agent systems that integrate with tools, APIs, and enterprise applications. Solutions must meet enterprise standards for security, reliability, scalability, observability, and governance. The Lead AI Engineer will set technical direction for cross-cutting AI capabilities and promote shared agentic patterns, evaluation practices, and production standards across teams. The role also includes coaching AI engineers and partnering with AI Quality, SRE, and Security on release gates and operational practices. The position is based in the United States, with locations listed in California, Michigan, Texas, New York, and Washington, DC. Occasional business travel may be required.
Requirements
- 8–13 years of relevant experience.
- Bachelor's or Master's degree in Computer Science, AI, ML, or a related field, or equivalent experience.
- Hands-on experience with LLMs such as OpenAI, Anthropic, Gemini, or Llama, or equivalent models.
- Familiarity with agentic frameworks such as LangGraph, LangChain, or CrewAI, and agentic SDKs appropriate to the level.
- Understanding of prompt engineering, tool/function calling, planning, reasoning, and workflow orchestration.
- Experience with Python, REST APIs, microservices, cloud, containers, CI/CD, and testing; depth scales with level.
- Experience with evaluations for LLM, RAG, or agent use cases and observability tools such as Langfuse, OpenSearch, or OpenTelemetry, as appropriate to the level.
- Strong communication and ownership mindset.
- Experience leading patterns or practices adopted across multiple teams.
- Ability to set technical direction for an AI area, beyond delivering features.
- Ability to balance innovation speed with enterprise quality, safety, and cost.
Nice To Haves
- Experience with frontier or foundation models beyond API usage, including evaluation, adaptation, or fine-tuning.
- Experience with open-weight models and local inference tools such as vLLM, Ollama, or Hugging Face.
- Data exploration techniques and tools.
- Agile or Atlassian experience.
- Experience with advanced IDEs such as Cursor, IntelliJ, or VSCode.
Responsibilities
- Design, develop, and maintain enterprise-grade agentic AI applications using modern LLMs and AI frameworks.
- Build autonomous and semi-autonomous AI agents capable of planning, reasoning, decision-making, and task execution.
- Develop multi-agent systems and orchestrate interactions among agents, tools, APIs, and enterprise applications.
- Integrate AI agents with internal and external services through APIs, databases, messaging systems, and workflow engines.
- Build and deploy RAG solutions using vector databases and enterprise knowledge sources.
- Optimize AI workflows for performance, scalability, reliability, and cost efficiency.
- Implement observability, monitoring, guardrails, and governance mechanisms for production AI systems.
- Build and run agent evaluations, define evaluation sets, test behavior, and iterate on prompts, tools, and workflows.
- Package and deploy solutions in production and apply diagnostics across the AI stack.
- Collaborate with product teams, architects, and stakeholders, and contribute to reviews, documentation, and best practices.
- Define shared agentic patterns, evaluation practices, and production standards across teams.
- Lead architecture for cross-cutting AI capabilities used by multiple products or squads.
- Coach AI engineers and raise standards for quality, safety, and cost discipline.
- Partner with AI Quality, SRE, and Security on release gates and operations practices.
Benefits
- Variable plan may be included as part of compensation.
- Country-specific benefits may be included as part of compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
