Principal AI Engineer - AgenticAI

Description

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

Requirements

• 10+ years of professional software development experience, with significant time shipping B2B products used by external customers.
• Strong software engineering foundation with expert-level Python and experience designing production systems.
• Proven experience building, deploying, and operating AI-powered products in production, not just prototypes or research.
• Hands-on experience with LLMs and GenAI systems in real applications (e.g., agents, copilots, automation, decision systems).
• Deep understanding of at least several of the following: Agent frameworks and orchestration, Prompt engineering and tool-use patterns, RAG architectures and vector search, Model evaluation, feedback loops, and monitoring, Safety, guardrails, and enterprise controls.
• Hands-on experience with multiple of the following in real systems: LangGraph and/or LangChain, LlamaIndex, Vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus), Prompt engineering as a managed, versioned, testable artifact.
• Experience deploying and operating LLMs using: AWS SageMaker, Vertex AI, or equivalent managed platforms, Direct API integrations (OpenAI, Anthropic), Experience designing multi-agent systems or complex agent workflows, Experience commercializing AI features under enterprise constraints (security, compliance, uptime).
• Comfort operating in ambiguity and making decisions with incomplete information.