BMC

1 month ago

Principal AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Architect, build, and harden agentic AI systems end to end, from model lifecycle and infrastructure through shared services like agent orchestration, RAG/grounding, and routing. Prototype new capabilities and scale the best into production-grade, observable, and governed systems. Lead evaluation and experimentation (offline/online), define success metrics, and drive tracing, monitoring, and safe deployments. Mentor engineers and translate complex architectures into clear guidance.

Location: Santa Clara, Mountain View

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Own end-to-end architecture for agentic systems, including reasoning/planning, tool/function calling, multi-agent coordination, routing, memory, and human-in-the-loop handoffs.
•Prototype new agentic capabilities and drive successful ones into production-grade systems with production-quality code.
•Build and integrate across the AI stack: RAG/knowledge services, model/tool routing, prompt/context management, orchestration runtimes, and inference serving.
•Stand up evaluation and experimentation strategy (offline suites, golden datasets, CI/CD regression gates, online evaluators, calibrated LLM-as-a-judge graders, A/B experiments) and define success metrics.
•Set technical direction across teams, mentor engineers, and create clear guidance for partners and customers.

Travel: Low travel

Pay and Benefits

Salary: USD 175,800 - 293,000 annually

Key Requirements

•8+ years building and operating scalable, production-grade software with significant recent depth in AI/ML.
•Experience designing, building, and shipping agentic AI systems (autonomous/multi-step workflows, multi-agent frameworks, and GenAI copilots) in production.
•Hands-on evaluation and experimentation frameworks for LLM/agentic systems (offline + online evals, LLM-as-a-judge, benchmarking, CI/CD gates, and production monitoring).
•Strong agentic engineering skills with modern agent/LLM frameworks such as LangGraph or Google ADK (or comparable).
•Experience with RAG and retrieval (vector stores, grounding, citations) and familiarity with AgentOps/LLMOps and production monitoring.

Experience:8+ yearsAI/MLAgentic AI

Skills:CommunicationMentoringJudgmentLeadership

Tech Stack:LangGraphGoogle ADKRAGVector storesAgentOpsLLMOpsGitDockerKubernetesCI/CDAWSAzureGCP

Company Brief

BMC

Provides IT service management, automation, and operations software to help enterprises manage digital services, cloud infrastructure, and mainframe environments with monitoring, service desk, and AIOps solutions.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Houston, United States

Founded: 1980

Website LinkedIn

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BMC