About this opportunity
BMC Software, Inc lists this Lead Software Engineer - AgenticAI opportunity in santa clara, California. Review the employer’s description below for duties, qualifications and application requirements.
Job 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.
We are looking for a Lead AI Engineer to help build our next generation Agentic AI platform from 0-1. This is a hands on, delivery driven role for an engineer who has shipped AI powered products into real enterprise environments, understands the trade offs of production AI systems, and takes ownership of outcomes, not just models or demos.
You will work alongside our VP of Engineering, VP of AI, senior engineers, and product leadership to define and build the core AI systems of the platform. You will spend most of your time designing, coding, and shipping production grade AI capabilities used by external B2B customers. Success is measured by reliability, controllability, cost efficiency, and customer impact, not novelty.
How YOU will contribute to BMC's and your own success
Build and evolve agentic AI systems that reason, plan, execute, and adapt in production environments.
Lead AI driven features from concept to production in a true 0-1 product environment.
Write and review high quality production code (Python first) across AI pipelines, inference services, orchestration layers, and supporting systems.
Implement prompt engineering, tool use, memory, evaluation, and guardrails as first class engineering concerns, not experiments.
Contribute to the design of agent frameworks that balance autonomy with determinism, observability, and safety.
Make pragmatic architectural trade offs across latency, cost, accuracy, scalability, and maintainability.
Integrate and operate LLMs (commercial and/or open source) including model selection, fine tuning strategies, embeddings, retrieval (RAG), and inference optimization.
Address real world issues: hallucinations, drift, prompt regressions, failure modes, and customer trust.
Deploy and operate AI services across cloud platforms (AWS, Azure, GCP), including secure enterprise integrations and customer specific deployments.
Ensure the platform is shippable, debuggable, and supportable - not fragile or research grade.
Act with strong ownership: identify gaps, propose solutions, and move forward without waiting for perfect requirements.
To ensure you're set up for success, you will bring the following skillset & experience
6+ 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,
Hands on experience with LLMs and GenAI systems in real applications (e.g., agents, copilots, automation, decision systems).
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.
Nice to have (our team can help you develop these)
Contributions to open source GenAI tooling or internal frameworks used at scale.
Experience with supervised fine tuning, parameter efficient tuning methods (LoRA, QLoRA), reinforcement learning (RLHF) and preference optimization (PPO, DPO, GRPO).
Experience deploying LLMs at scale (Kubernetes, model serving, GPU optimization).
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.
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 $152,925 - $254,875
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Worksite address
santa clara, CA, 95053, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.