Job Description

Roles & Responsibilities

AI Technical Governance & Delivery Lead

Job Overview

We are looking for an experienced AI Technical Governance & Delivery Lead to provide technical leadership, architecture governance, and delivery oversight across multiple enterprise AI initiatives and development squads.

The role will be responsible for governing AI technical delivery, reviewing and approving solution architectures, ensuring adherence to enterprise technology standards, and providing technical direction across Generative AI, Machine Learning, AI Agents, RAG, analytics, and AI platforms.

The successful candidate will work closely with solution architects, AI engineers, developers, data engineers, cloud and security teams, vendors, and senior stakeholders to ensure AI solutions are scalable, secure, compliant, production-ready, and aligned with enterprise architecture and business objectives.

Key Responsibilities

1. Technical Delivery Governance

• Govern technical delivery activities across multiple AI development squads.
• Review solution architectures, technical designs, and implementation approaches.
• Ensure consistency in architecture, engineering practices, technology standards, and delivery methodologies.
• Track technical progress, delivery milestones, dependencies, risks, and production readiness.
• Identify technical risks and drive appropriate mitigation actions.
• Review and approve solution designs prior to implementation and production deployment.
• Govern internal and external delivery teams to ensure adherence to approved architectures, technical standards, and roadmaps.

2. Solution Architecture Leadership

• Define and establish enterprise AI solution architecture standards, principles, and best practices.
• Review and validate AI architectures covering LLMs, RAG, AI Agents, Machine Learning, analytics, and enterprise AI platforms.
• Ensure AI solutions meet requirements for scalability, maintainability, performance, reliability, and security.
• Govern integration approaches with enterprise applications, data platforms, APIs, and technology ecosystems.
• Provide architectural direction and technical guidance for complex AI initiatives.
• Challenge and validate architecture decisions to ensure alignment with enterprise technology strategy.

3. Squad Leadership & Technical Coordination

• Act as the technical lead across multiple AI delivery squads.