Director of AI Platforms & Engineering

Koitecc Solutions; New York, Northern (NY, KY); Hybrid; USD 192,000 - 278,000; Full time

Benefits offered by this job

Incentive compensation

Medical, dental, vision

Job summary

Moody's seeks a Director to define the long‑term technical strategy for AI platforms and applications, owning the multi‑year architecture roadmap. You will lead multiple engineering teams, drive AI-powered solution delivery, and ensure architectural alignment, observability, and cost efficiency across large-scale programs.

You will partner with product, risk, legal, and compliance teams to advance responsible AI governance, mentor future leaders, and report on metrics showing platform adoption

Qualifications

• 12+ years of software engineering experience, including 5+ years leading engineering teams and delivering complex, large-scale, multi-team initiatives with measurable business impact
• Experience leading multiple teams or groups of teams, including managing engineering managers, technical leads, and staff-level engineers with accountability for delivery outcomes across a portfolio
• Strong technical depth in TypeScript, Python, C#, or similar technologies, with the ability to engage credibly in architecture and code reviews, challenge design decisions, and assess technical risk
• Deep expertise in enterprise AI applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks
• Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applications
• Deep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patterns
• Proven track record of owning multi-year technical strategy and architectural roadmaps, guiding teams from AI prototype through production deployment, and influencing organizational change
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

Responsibilities

• Define and execute long-term technical strategies while owning the multi-year architecture and technology roadmap for AI platforms and applications
• Lead, grow, and organize multiple engineering teams, including engineering managers, technical leads, and staff-level engineers, with accountability for delivery outcomes across the portfolio
• Drive architectural decisions, organizational alignment, and integration of AI-powered solutions using large language models, retrieval augmented generation, orchestration frameworks, and agentic workflows
• Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices
• Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus-buy decisions
• Partner with product, business, risk, legal, compliance, and audit stakeholders to maximize customer value and implement responsible AI governance practices
• Attract, develop, and retain engineering talent through mentoring, succession planning, performance coaching, and the cultivation of future engineering leaders
• Define and report on key metrics that demonstrate platform adoption, delivery performance, reliability, cost efficiency, and measurable business impact

Job description

Moody's seeks a Director to define the long‑term technical strategy for AI platforms and applications, owning the multi‑year architecture roadmap. You will lead multiple engineering teams, drive AI-powered solution delivery, and ensure architectural alignment, observability, and cost efficiency across large-scale programs.

You will partner with product, risk, legal, and compliance teams to advance responsible AI governance, mentor future leaders, and report on metrics showing platform adoption