Principal AI Engineer

• 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 between 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 eval sets, test behaviour, iterate on prompts, tools, and workflows.
• Package and deploy solutions in production; apply strong diagnostics across the AI stack.
• Collaborate with product, architects, and stakeholders; contribute to reviews, documentation, and best practices.
• Set applied AI architecture and investment priorities across products.
• Make consequential tradeoffs among models, platforms, build-vs-buy, and risk controls.
• Drive org-wide adoption of AI capabilities with measurable outcomes and managed risk.
• Align product, platform, security, and quality leaders on a coherent AI direction.

• Typically, 12+ years of relevant experience 
• Bachelor's or Master's in Computer Science, AI, ML, or related field (or equivalent experience).
• Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, Llama, or equivalent) 
• Familiarity with agentic frameworks (LangGraph, LangChain, CrewAI, or similar) and agentic SDKs as level requires.
• Understanding of prompt engineering, tool/function calling, planning, reasoning, and workflow orchestration.
• Python; REST APIs, microservices, cloud, containers, CI/CD, and testing — depth scales with level.
• Evals for LLM/RAG/Agent use cases; observability (Langfuse, OpenSearch, OpenTelemetry) as level requires.
• Strong communication and ownership mindset.
• Evidence of setting AI architecture/priorities across multiple products.
• Org/BU adoption with measurable outcomes and explicit risk management.
• Sustained influence on where the organization invests in applied AI.

• Frontier/foundation models beyond API usage (evaluation, adaptation, fine-tuning).
• Open-weight models and local inference (vLLM, Ollama, Hugging Face).
• Data exploration techniques and tools.
• Agile / Atlassian; advanced IDEs (Cursor, IntelliJ, VSCode).

Our commitment to you! 

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! 

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! 

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender,  gender expression,  gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran.  If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.