Senior AI Engineer - Agentic AI Platform Leader

You may occasionally be required to travel for business Additional Locations: Looking for more details about our benefits? You can also learn all about them by clicking HERE Description and Requirements 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 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! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! 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 $152,925 - $254,875 We use AI technology to support parts of our recruitment process, but people—not algorithms—make all final hiring decisions. AI may assist with tasks like scheduling, screening for role alignment, or helping us manage large volumes of applications more efficiently. However, candidates are reviewed by a member of our recruitment team, and interviews and hiring decisions are always made by people. We’re committed to ensuring that technology enhances fairness, efficiency, and the candidate experience—never replaces genuine human judgment. #J-18808-Ljbffr BMC Software