Release Management AI Engineering Lead - SVP

Job ID: 100362291088Posted: 2026-09-09Location: Tampa, Florida, United StatesSalary: $141,440.00 - $212,160.00Category: Technology, Systems & Engineering, ProfessionalCompany: CitiThe DepartmentDeveloper 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.The TeamWithin 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.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 ExcellenceOwn the end-to-end release management strategy, defining standards and tooling for CI/CD, deployment orchestration, and release governanceDrive the adoption of Harness, progressive delivery (blue/green, canary), and everything-as-code principles across engineering teamsDefine and enforce SDLC controls, ensuring release processes are secure, auditable, and compliant with Citi's standardsAI Engineering & Release IntelligenceLead the design and delivery of AI-powered release management systems, including intelligent deployment gates, anomaly detection, predictive rollback, and LLM-assisted release orchestrationArchitect and implement agentic AI workflows that automate release readiness assessments, change risk analysis, and compliance checksEvaluate and integrate AI/ML models into production release workflows, ensuring safety, reliability, and auditabilityEngineering LeadershipLead, mentor, and grow a team of AI and platform engineers — fostering a culture of technical excellence, psychological safety, and continuous improvementCollaborate with cross-functional stakeholders — product managers, security engineers, platform teams, and business analysts — to align release capabilities with organizational goalsDrive cultural change by championing AI-augmented engineering practices and encouraging critical, creative thinking about controls and processesPlatform & Systems EngineeringDesign and build scalable, production-grade backend systems using Python and/or Golang, integrating with cloud-native and containerized infrastructureEnsure all platforms are secure, observable, and compliant with Citi's DevSecOps and SDLC requirementsChampion best practices in system design including distributed systems, event-driven architectures, micro-services, and API-first designWhat We're Looking ForLeadership & MindsetA strategic thinker with a hands-on approach — comfortable moving between high-level architecture and deep technical deliveryA growth mindset with a genuine passion for AI, automation, and engineering innovationStrong communication and influencing skills — able to engage technical teams, senior stakeholders, and cross-functional partners with clarity and convictionAn advocate for inclusion, diversity, and psychological safety in all its formsA self-starter who thrives in ambiguity, brings structure to complexity, and energises the people around themWays of WorkingPragmatic and risk-aware, with a creative approach to solving hard engineering problemsCommitted to a culture of continuous improvement and data-driven decision-makingEnthusiastic about knowledge sharing, mentoring, and building high-performing teamsExperience & SkillsRequiredProven experience leading AI/ML or platform engineering teams in product-focused environments13+ years of relevant experienceStrong hands-on engineering experience in Python and/or Golang — building and shipping production systemsDemonstrated experience with Generative AI and LLM technologies — including prompt engineering, LangChain, LlamaIndex, RAG pipelines, or equivalent frameworksDeep knowledge of release management and CI/CD — including tools such as Harness, GitHub Actions, Tekton, ArgoCD, or similarExperience with agentic AI architectures, AI workflow orchestration, and integrating AI into engineering systemsProven 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 principlesPreferredExperience 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 functionsBackground 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 - $212,160.00In 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:------------------------------------------------------Automated Processing and AIWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.Illinois residents – AI Notice and Right------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.