About this opportunity
Talentify lists this Principal AI Engineer opportunity in santa clara, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Basic Information
Job Name
Principal Innovator - USA (B)
Country
United States
State
California
City
Santa Clara
Date Published
16-Jun-2026
Job ID
47117
Travel
up to 10%
Additional Locations
Milpitas - Mountain View - East Foothills - Los Altos - Stanford - Santa Clara
Looking for more details about our benefits? You can also learn all about them by clicking HERE
Description and Requirements
CareerArc Code
CA-BS
#LI-BS1
Hybrid: #LI-Hybrid
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.
We’re looking for a Principal AI Engineer to architect, build, and harden the agentic AI systems that power our products. This is a hands-on, full-stack AI role: you’ll work across the entire AI stack from the foundation (model lifecycle, experimentation, infrastructure) through shared services (agent orchestration, RAG and grounding, gateways and routing) up to the agents and workflows that reach customers. You’ll set the technical direction for how we design agents, prove what works through rigorous evaluation, and turn promising prototypes into reliable, observable, governed production systems.
Here is how, through this role, you will contribute to BMC’s and your own success:
Own the architecture for agentic systems end to end - reasoning and planning, tool/function calling, multi-agent coordination, routing, memory, and human-in-the-loop handoffs and define reusable patterns and reference implementations.
Prototype new agentic capabilities quickly, then drive the ones that prove into production-grade systems; write production-quality code and set the engineering bar.
Build and integrate across the stack: RAG and knowledge services, model/tool routing, prompt and context management, orchestration runtimes, and inference serving. Evaluate and adopt emerging models, frameworks, and protocols.
Stand up the evaluation and experimentation strategy that gates what we ship, offline suites and golden datasets, regression tests in CI/CD, online evaluators on production traffic, calibrated LLM-as-a-judge graders, and A/B experiments to ensure safe and reliable deployments of agents in production.
Define the metrics that matter (task success, grounded-ness, cost, safety, etc.) and define and build the tracing and observability to measure them across multi-turn interactions, closing the loop from error analysis to continuous improvement.
Set technical direction across teams, mentor engineers, and translate complex architectures into clear guidance for partners and customers.
To ensure you’re set up for success, you will bring the following skillset & experience:
8+ years of building and operating scalable, production-grade software, with significant recent depth in AI/ML.
Proven experience designing, building, and shipping agentic AI systems (autonomous/multi-step agentic workflows, multi-agent frameworks, and Generative AI copilots) in production.
Hands-on experience building evaluation and experimentation frameworks for LLM/agentic systems (offline + online evals, LLM-as-a-judge, benchmarking, CI/CD gates, production monitoring).
Strong agentic engineering skills, with modern agent/LLM frameworks (e.g., LangGraph, Google ADK, or comparable).
Experience with RAG and retrieval (vector stores, grounding, citations) and familiarity with AgentOps/LLMOps and production monitoring.
Solid software engineering fundamentals with productization tooling: Git, Docker, Kubernetes, CI/CD, and cloud (AWS / Azure / GCP).
The judgment to operate in fast-moving, ambiguous environments and the communication skills to lead without authority.
Experience with model customization (SFT, RLHF, DPO/GRPO), eval/observability platforms and bridging applied research and engineering is a nice to have.
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!
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.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $175,800 - $293,000
Min salary
175,800
Mid point salary
234,400
Max salary
293,000
Min Salary - NEW
175,800
Max Salary - NEW
293,000
#J-18808-Ljbffr
Worksite address
santa clara, CA, 95053, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.