Principal AI Architect

Principal AI Architect

The Principal AI Architect to design and lead the technical strategy for our AI infrastructure, platforms, and systems. In this role, you will own the architectural vision for how we build, deploy, and scale AI solutions across the organization. You'll work at the intersection of AI/ML innovation, systems design, and engineering excellence, partnering with product, data science, and infrastructure teams to build robust, scalable, and responsible AI systems.

This is a high-impact technical leadership role ideal for someone who is passionate about AI systems, thinks deeply about architecture and design patterns, and is excited about solving complex technical challenges at scale.

What you'll be doing

What will your essential responsibilities include?

AI Architecture & Systems Design (40%)

• Own the end-to-end technical architecture for AI systems, platforms, and infrastructure
• Design scalable, modular, and extensible AI architectures that support multiple use cases
• Define technical standards, best practices, and design patterns for AI development across the organization
• Evaluate and recommend AI/ML frameworks, tools, and technologies (LLMs, vector databases, orchestration platforms, etc.)
• Design solutions for complex challenges: model serving, real-time inference, batch processing, multi-model systems
• Create architecture documentation, diagrams, and technical specifications for cross-functional teams
• Conduct architecture reviews and provide technical guidance on design decisions

AI Infrastructure & Platform Development (25%)

• Design and architect AI/ML platforms and infrastructure for scale (training, inference, monitoring, deployment)
• Define MLOps and model lifecycle management practices (versioning, governance, lineage, reproducibility)
• Design data pipelines, feature engineering infrastructure, and data management systems
• Architect solutions for model serving, inference optimization, and latency requirements
• Plan and execute infrastructure upgrades, migrations, and technical debt reduction
• Establish monitoring, observability, and alerting frameworks for AI systems
• Work with Dev Ops and Infrastructure teams to operationalize AI systems

AI/ML Innovation & Strategy (15%)

• Stay at the forefront of AI/ML research and emerging technologies
• Evaluate new models, frameworks, and techniques for strategic relevance and business impact
• Design proof-of-concepts and pilots for emerging AI technologies (generative AI, multimodal models, agents, etc.)
• Provide technical thought leadership on AI strategy and technologydmap
• Mentor data scientists and engineers on architectural best practices and design patterns
• Contribute to technical strategy discussions with product and business leadership

Technical Leadership & Collaboration (15%)

• Lead and mentor senior engineers, architects, and technical leads
• Establish technical vision and roadmap aligned with business objectives
• Drive technical decision-making and architecture governance across AI teams
• Partner with Product to translate business requirements into technical architecture
• Collaborate with Data Science, Engineering, and Infrastructure teams on design and implementation
• Lead design reviews, architecture discussions, and technical problem-solving sessions
• Build and maintain robust relationships with key technical stakeholders

Responsible AI & Governance (5%)

• Design systems and processes to ensure responsible AI practices (bias detection, fairness, explainability)
• Establish governance frameworks for model performance, safety, and ethical deployment
• Design monitoring and alerting for model drift, performance degradation, and fairness metrics
• Navigate regulatory requirements and ensure compliance with AI regulations
• Architect solutions for model interpretability, transparency, and auditability
• Lead technical discussions on AI ethics, safety, and responsible system design

You will report to the Global Head of Digital Factory.

What you will bring

We're looking for someone who has these abilities and skills:

Required

Skills and Abilities:

• Extensive software engineering or systems architecture experience
• Moderate hands-on experience designing and building large-scale AI/ML systems
• Proven track record architecting systems that have been deployed to production at scale
• Experience leading technical architecture decisions on complex, mission-critical systems
• Demonstrated expertise in distributed systems, scalability, and performance optimization
• Deep expertise in AI/ML fundamentals, algorithms, and best practices
• Outstanding understanding of modern ML frameworks and tools (Tensor Flow, PyTorch, JAX, etc.)
• Proficiency in at least one programming language (Python, Java, C++, Go, etc.)
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Robust understanding of data engineering, ETL pipelines, and data infrastructure
• Knowledge of database systems, data warehousing, and query optimization
• Familiarity with API design, microservices, and distributed system patterns
• Strategic thinking with…