The OpportunityThis 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.
ResponsibilitiesRelease Management & Delivery Excellence- 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
AI Engineering & Release Intelligence- 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
Engineering Leadership- 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 engineering practices and encouraging critical, creative thinking about controls and processes
Platform & Systems Engineering- Design and build scalable, production-grade backend systems using Python and/or Golang, integrating with cloud-native and containerized infrastructure
- Ensure all platforms are secure, observable, and compliant with Citi's DevSecOps and SDLC requirements
- Champion best practices in system design including distributed systems, event-driven architectures, micro-services, and API-first design
What We're Looking ForLeadership & Mindset- A strategic thinker with a hands-on approach - comfortable moving between high-level architecture and deep technical delivery
- A growth mindset with a genuine passion for AI, automation, and engineering innovation
- Strong communication and influencing skills - able to engage technical teams, senior stakeholders, and cross-functional partners with clarity and conviction
- An advocate for inclusion, diversity, and psychological safety in all its forms
- A self-starter who thrives in ambiguity, brings structure to complexity, and energises the people around them
Ways of Working- Pragmatic and risk-aware, with a creative approach to solving hard engineering problems
- Committed to a culture of continuous improvement and data-driven decision-making
- Enthusiastic about knowledge sharing, mentoring, and building high-performing teams
Experience & SkillsRequired- Proven experience leading AI/ML or platform engineering teams in product-focused environments
- Strong hands-on engineering experience in Python and/or Golang - building and shipping production systems
- Demonstrated experience with Generative AI and LLM technologies - including prompt engineering, LangChain, LlamaIndex, RAG pipelines, or equivalent frameworks
- Deep knowledge of release management and CI/CD - including tools such as Harness, GitHub Actions, Tekton, ArgoCD, or similar
- Experience with agentic AI architectures, AI workflow orchestration, and integrating AI into engineering systems
- Proven experience with distributed systems, event-driven architectures, container-based micro-services, and cloud-native infrastructure (Kubernetes / OpenShift)
- Hands-on experience with DevSecOps practices, SDLC controls, and security-by-design principles
Preferred- Experience with MLOps platforms and model deployment pipelines (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)
- Familiarity with observability tooling (e.g., Grafana, OpenTelemetry, Loki, Prometheus)
- Exposure to policy-as-code and compliance-as-code frameworks (e.g., OPA, Rego)
- Experience in regulated industries (financial services, fintech) with exposure to audit, controls, or governance functions
- Background working in agile, product-oriented engineering teams with a continuous delivery mindset
Job Family Group: Technology
Job Family:Systems & Engineering
Time Type:Full time
Primary Location:Tampa Florida United States
Primary Location Full Time Salary Range:$141,440.00 - $212,160.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills Please see the requirements listed above.
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:Sep 15, 2026
