Principal AI Architect

Looking for more details about our benefits? You can also learn all about them by clicking HERE3>Description and Requirements BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our 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 seeking an exceptionally skilled Principal AI Architect 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. To ensure you’re set up for success, you will bring the following skillset & experience: Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 10+ years of experience in software development and enterprise architecture, with strong experience building and operating production‑grade AI/ML systems. Strong background in delivering Generative AI solutions spanning integration of foundation models (LLMs), RAG systems, and multimodal AI technologies. Experience in building Agentic AI solutions inclusive of MCP, A2A, and other contemporary architectures. Proven track record of reimagining enterprise processes and delivering measurable transformation through technology. Proficient in developing and testing Agentic AI solutions on a practical level and enterprise scale. Excellent understanding of data management, LLMOps, MLOps practices, and cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes, etc.). Strong programming skills in languages such as Python, Java, or C++, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch). A strong portfolio of successfully operationalized AI projects, publications, or patents that demonstrate innovation and impact. Strong communication and interpersonal skills, with the ability to influence technical decisions and align stakeholders. 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 $240,375 - $400,625 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