Principal AI Engineer: Agentic AI & Multi-Agent Systems

BMC Software, Inc.; California (MO); On-site; USD 198,000 - 330,000; Full time

Job summary

Be a pivotal force at BMC Software, Inc. leading the design and development of agentic AI applications that leverage LLMs and advanced frameworks. You will build autonomous agents, orchestrate multi-agent interactions, and integrate with internal and external services to deliver enterprise-grade AI solutions.

You will also establish governance, observability, and evaluation methodologies while guiding architectural priorities across multiple products and stakeholders.

Qualifications

• 12+ years of relevant experience.
• Bachelor's or Master's in CS/AI or related field (or equivalent).
• Hands-on experience with LLMs (OpenAI, Anthropic, Gemini, Llama, or equivalent).
• Familiarity with agentic frameworks (LangGraph, LangChain, CrewAI, or similar).
• Understanding of prompt engineering, tool/function calling, planning, reasoning, and workflow orchestration.
• Python; REST APIs, microservices, cloud, containers, CI/CD, and testing.
• Evals for LLM/RAG/Agent use cases; observability (Langfuse, OpenSearch, OpenTelemetry).
• 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.

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 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.

Skills

LLMs

Agentic frameworks

Prompt engineering

Python

APIs

CI/CD

Observability

Communication

Ownership

AI architecture

Education

Bachelor's in CS/AI

Master's in CS/AI

Tools

LangGraph

LangChain

CrewAI

Job description

Be a pivotal force at BMC Software, Inc. leading the design and development of agentic AI applications that leverage LLMs and advanced frameworks. You will build autonomous agents, orchestrate multi-agent interactions, and integrate with internal and external services to deliver enterprise-grade AI solutions.

You will also establish governance, observability, and evaluation methodologies while guiding architectural priorities across multiple products and stakeholders.