AI Platform Delivery Director

AI Platform Delivery Director

📍 Location: New York, NY, US

🏢 Industry: Financial Services

💼 Work Setting: Hybrid

Are you a people-first engineering leader with deep platform engineering expertise, cloud infrastructure knowledge, and experience leading high-performing teams? This role offers the opportunity to shape the future of AI enablement at scale by guiding the development of foundational platform capabilities that support AI engineers, data scientists, and developers across the organization.

As the leader of the AI Platform Engineering team, you will oversee team growth, execution, engineering excellence, and platform strategy while partnering closely with AI, product, and cloud engineering leaders to deliver secure, scalable, and reliable AI infrastructure.

Key Responsibilities

Engineering Leadership & Team Development

People Management

• Lead and develop a team of AI Platform Engineers.
• Manage:
• Hiring
• Onboarding
• Performance Management
• Career Development
• Succession Planning
• Build and maintain a high-trust engineering culture.
• Foster collaboration, accountability, and professional growth.

Team Growth & Mentorship

• Coach engineers through technical and career challenges.
• Promote continuous learning and knowledge sharing.
• Create an environment focused on engineering craftsmanship and excellence.
• Support growth through feedback, mentorship, and stretch opportunities.

AI Platform Delivery & Execution

Roadmap Ownership

• Drive execution against the AI Platform roadmap.
• Translate strategic initiatives into:
• Sprint Plans
• Technical Milestones
• Delivery Objectives
• Ensure projects progress from concept to production successfully.
• Manage competing priorities and delivery risks.

Cross-Functional Alignment

Partner closely with:

• AI Engineering Teams
• Product Teams
• Cloud Engineering
• Security Organizations
• Enterprise Technology Leaders
• Align technical execution with business objectives.
• Ensure platform capabilities meet organizational needs.

Technical Leadership

Architecture & Design Oversight

Remain actively engaged in:

• Architecture Reviews
• Technical Design Reviews
• Platform Planning
• Technical Decision Making

Support systems such as:

• AI Agent Runtime Infrastructure
• Tool & Plugin Registries
• Memory Management Layers
• Context Management Systems
• Agent Observability Platforms
• AI Infrastructure Services

Technical Credibility

• Provide architectural guidance and technical direction.
• Evaluate tradeoffs and implementation approaches.
• Influence solution design without requiring direct coding involvement.
• Maintain awareness of industry trends and emerging technologies.

AI Platform Engineering

Platform Infrastructure

Support development and operation of:

• AI Development Platforms
• Model Serving Infrastructure
• Inference Platforms
• Agentic AI Systems
• Developer Self-Service Platforms
• Shared Platform Services

Developer Experience

• Improve the efficiency of internal engineering teams.
• Simplify deployment, monitoring, and operational workflows.
• Reduce friction for AI product development teams.
• Drive platform usability and adoption.

Engineering Excellence & Operational Maturity

Quality Standards

Establish and maintain standards for:

• Code Quality
• Testing Practices
• Reliability Engineering
• Security
• Documentation
• Platform Support

Operational Excellence

• Lead adoption of best practices in:
• Incident Management
• On-Call Operations
• Monitoring
• Platform Reliability
• Service Ownership
• Promote a culture focused on resilient and scalable systems.

Governance & Documentation

• Ensure clear technical documentation and design standards.
• Improve transparency and knowledge sharing across teams.
• Encourage disciplined engineering practices.

Stakeholder & Executive Communication

Executive Reporting

• Communicate:
• Team Progress
• Delivery Status
• Resource Requirements
• Risks & Mitigation Plans
• Provide concise and actionable updates to senior leadership.

Business Partnership

• Translate technical concepts into business outcomes.
• Align platform investments with strategic priorities.
• Support organizational decision-making through clear communication.

Risk Management

• Identify platform risks proactively.
• Escalate issues appropriately.
• Support successful delivery through effective planning and execu…