AI & Platform Engineering Lead (Hands-on Leadership) - Director I - Product Engineering

Job summary

UST is seeking an AI & Platform Engineering Lead to drive the engineering vision and execution of their enterprise AI platform, enabling scalable and client-ready AI adoption. This hands-on leadership role involves influencing platform direction, guiding engineering teams, engaging with clients, and actively contributing to architectural decisions, design validation, and engineering execution. The successful candidate will lead the technical evolution of the enterprise AI platform, ensuring it is engineered using modern product engineering principles and scales from an innovation-led foundation into a robust enterprise solution.

Qualifications

• Extensive experience in software, platform, or product engineering within complex enterprise environments.
• Proven ability to build scalable platforms, SaaS solutions, or reusable engineering frameworks.
• Extensive experience leading engineering teams or platform squads, driving both strategy and execution.
• Demonstrated capability to operate across architecture, hands-on engineering, and delivery leadership.
• Strong experience with LLM-based applications, RAG architectures, AI orchestration, or ML platform engineering.
• Deep expertise in Azure, AWS, or GCP, with strong understanding of cloud-native services and architectures.
• Strong knowledge of microservices, APIs, distributed systems, event-driven architecture, and integration patterns.
• Practical experience with CI/CD, automated testing, release engineering, and deployment pipelines.
• Experience evolving platforms from proof-of-concept to production, including releases, versioning, and maintainability.
• Exposure to enterprise client environments, including technical workshops, solutioning, and delivery governance.
• Ability to review code, validate architecture, guide engineering decisions, and unblock teams when needed.

Responsibilities

• Define and drive the end-to-end engineering strategy, including platform architecture, design standards, technical roadmap, and production readiness.
• Transform AI platforms from prototype and experimental assets into enterprise-grade, production-ready capabilities.
• Ensure the platform supports multi-client environments, high availability, security, and long-term scalability.
• Embed strong software engineering discipline, including reusable design patterns, code quality, and engineering governance.
• Provide leadership across the AI and GenAI engineering stack, ensuring robust design and delivery.
• Partner with Sales, Solutions, and Delivery teams to position and implement the AI platform in client engagements.
• Contribute to solution shaping, technical workshops, and stakeholder discussions.
• Build and lead a cross-functional engineering team spanning platform engineering, full-stack development, AI/ML, DevOps, cloud, and data engineering.

Skills

Relocation