Lead Software Engineer - AgenticAI

BMC Software, Inc; Santa Clara (CA); On-site; USD 153,000 - 255,000; Full time

Job summary

BMC Software, Inc is building a next-generation Agentic AI platform and seeks a Lead AI Engineer to design, code, and ship production-grade AI capabilities for external B2B customers.

You will own end-to-end AI features from concept to production, work with senior leaders, and ensure reliability, cost efficiency, and governance across cloud deployments.

Qualifications

• 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 agent frameworks and orchestration, prompt engineering, RAG architectures, model evaluation, safety, guardrails, enterprise controls.
• Hands on experience with LangGraph and/or LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Experience deploying LLMs using AWS SageMaker, Vertex AI, or equivalent managed platforms; direct API integrations.
• 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.

Responsibilities

• 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.

Skills

Python

Production systems design

LLMs/GenAI

Agent frameworks

Multi-agent systems

AWS SageMaker

LangChain

Vector databases

Tools

LangGraph

LlamaIndex

Pinecone

Weaviate

FAISS

Milvus

Kubernetes

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