Release Management AI Engineering Lead - SVP

The Department

Developer Engineering is a function of the CTO organization. Our mission is to make it easy and enjoyable for software engineering teams to go from a business idea to delivering an innovative product solution. We are committed to modernizing our toolchain, streamlining delivery processes, automating at scale, and embedding intelligent controls that help engineering teams ship with confidence and speed.

Within the Developer Engineering department, the Developer Services group is a dedicated expert team at the forefront of the everything-as-code agenda. We exist to deliver measurable reductions in process friction, manual effort, and human error — ensuring our policies, standards, and controls are codified, automated, and consistently applied across the organization.

We hold a unique mandate as part of a greenfield program to shape critical technical consensus at a global scale, transforming how Citi engineers and applies controls across its technology landscape.

Developer Services is a cross-functional team of engineers, AI practitioners, data scientists, business analysts, and product managers — working together to engineer next-generation codified controls, build the underlying platforms that power them, and drive adoption across the broader organization.

This is a rare opportunity to sit at the intersection of AI engineering, release management, and platform modernization at one of the world's leading financial institutions.

As a Release Management AI Engineering Lead, you will play a pivotal leadership role in designing and delivering intelligent release management capabilities — using AI and automation to eliminate toil, de-risk deployments, and accelerate the path from code to production. You will shape the technical strategy for AI-powered release pipelines, lead a team of engineers, and partner closely with product, security, and platform teams to deliver production-grade AI systems.

You will have the opportunity to work with cutting-edge Generative AI technologies — including large language models (LLMs) such as GPT-4, Gemini, and Claude — embedding intelligent capabilities directly into our release and engineering workflows through prompt engineering, agentic design, and AI-driven automation.

This is not just an engineering role. It is a leadership opportunity to define how AI reshapes the release management discipline at scale.

• Own the end-to-end release management strategy, defining standards and tooling for CI/CD, deployment orchestration, and release governance
• Drive the adoption of Harness, progressive delivery (blue/green, canary), and everything-as-code principles across engineering teams
• Define and enforce SDLC controls, ensuring release processes are secure, auditable, and compliant with Citi's standards

• Lead the design and delivery of AI-powered release management systems, including intelligent deployment gates, anomaly detection, predictive rollback, and LLM-assisted release orchestration
• Architect and implement agentic AI workflows that automate release readiness assessments, change risk analysis, and compliance checks
• Evaluate and integrate AI/ML models into production release workflows, ensuring safety, reliability, and auditability

• Lead, mentor, and grow a team of AI and platform engineers — fostering a culture of technical excellence, psychological safety, and continuous improvement
• Collaborate with cross-functional stakeholders — product managers, security engineers, platform teams, and business analysts — to align release capabilities with organizational goals
• Drive cultural change by championing AI-augmented…