[Hiring] Senior AI Data Engineer @BMC Software

Role 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.

We are looking for an AI Data Architect / Solution Engineer to design the architecture that delivers trusted data at scale — and to build the AI products that put it directly in the hands of the business. This is a hands-on, senior role for someone who can set the technical blueprint, build the agents on top of it, and act as the bridge between business needs and technical reality.

You will work closely with the Director and Enterprise Architect, serve as technical lead and advisor to the team, and partner with the Senior AI Data Engineer to take designs from blueprint to production. Success is measured by the trust, scale, and adoption of the data and AI products that ship — and by the business outcomes they unlock.

• Architecture for Scale (Primary Focus): Design the reference architecture and delivery patterns that take governed data from the semantic layer to every downstream consumer — dashboards, applications, and AI agents — reliably and at scale.
• AI Data Products & Agents: Architect and build the Data Agent, the natural-language interface that lets business users query governed data without writing SQL.
• Semantic Foundation: Co-design the semantic layer (HoneyDew / DBT) — the metrics, dimensions, and governed business meaning that power both analytics and AI.
• Technical Leadership: Serve as technical lead and trusted advisor; set patterns, run design reviews, and mentor engineers.
• Business Translation: Translate ambiguous business problems into clear technical requirements; own stakeholder relationships.
• Ownership & Execution: Take features and subsystems end-to-end, proactively identifying gaps and driving work forward.

Qualifications

• 8+ years across data architecture and hands-on engineering, including production systems that held up under real enterprise use.
• Strong proficiency in Python and SQL, with deep, hands-on experience designing and building on Snowflake and DBT.
• Proven experience designing and building LLM / agentic solutions — RAG, function / tool calling, orchestration (LangChain / LlamaIndex / LangGraph), prompt engineering, and evaluation / observability.
• Deep understanding of the semantic layer as the architectural bridge between source data and business meaning.
• Demonstrated ability to translate complex technical concepts for non-technical stakeholders and influence architecture decisions across teams.
• Strong communication and the ability to lead through execution in a fast-moving environment.
• Broad technical exposure (depth not required in all areas):
• Cloud-native architecture across AWS, Azure, or GCP.
• Vector databases, embeddings, and retrieval evaluation.
• CI/CD and modern engineering practices for data and AI systems.
• Containerization and distributed systems (Docker, Kubernetes, microservices).

Benefits

• 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!
• 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.