Job description

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. The Team 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. The Opportunity 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. Responsibilities Release 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 For Leadership & 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 & Skills Required 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 ------------------------------------------------------ Automated Processing and AI We 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.

Requirements

Must-haves

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

Nice-to-haves

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
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Job Family Group: Technology ------------------------------------------------------
Job Family: Systems & Engineering ------------------------------------------------------
Time Type: Full time ------------------------------------------------------
Primary Location: Tampa Florida United States ------------------------------------------------------
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Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------

Application prep

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Keywords to mirror

goaici/cdllmmlpythongolangapikubernetesagileaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness