Principal AI Architect

We are seeking an exceptionally skilled Principal AI Architect to lead and execute the implementation of AI initiatives within the organization. This hands-on leadership role involves collaborating closely with cross-functional engineering, product and AI teams to design, prototype, and implement scalable, production-grade AI solutions. The ideal candidate will possess deep technical expertise in AI technologies, a proven track record of shipping production code, and the ability to translate complex architectural visions into robust, deployable systems.

Here is how, through this exciting role, YOU will contribute to BMC's and your own success:

* Architectural Vision & Standards: Define and build Machine Learning and AI reference architectures, including design patterns for Generative AI, LLMOps, MLOps, DataOps, RAG systems, and agentic workflows and frameworks; Build hands-on proofs-of-concept to guide engineering teams toward scalable enterprise implementations.
* Research & Development: Prototype new projects using the latest agentic AI architectures, frameworks, and tools, validate ideas with teams, and scale successful solutions into enterprise deployments. Stay abreast of the latest AI trends and cutting-edge methodologies; evaluate and integrate new tools and frameworks to enhance our AI capabilities. This includes leveraging advanced ML, NLP and deep learning techniques.
* Production Implementation & Engineering: Lead through code by designing, implementing, and maintaining core platform components and AI services in production environments, often with a hands-on coding commitment. Establish frameworks for evaluation, observability, and security guardrails to ensure trust, compliance, and safe AI adoption.
* Collaboration & Guidance: Partner with product management, data science, and engineering teams on AI initiatives and cross functional projects, providing senior technical guidance and performing deep code reviews and implementation, and ensuring alignment with key performance indicators (KPIs) and business metrics.
* Mentorship & Influence: Act as a technical advisor and mentor to engineers and architects, driving alignment across teams by publishing reference architectures and best practices.
* Compliance & Ethics: Partner with security, legal, and compliance teams to define privacy, guardrails and embed responsible AI principles, data privacy, and explainability into enterprise designs.