Senior Staff Generative AI Engineer - Vice President - Citi

eFinancialCareers; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Citi is hiring a Staff Generative AI Engineer to architect, build and deploy production-grade Generative AI applications and agentic frameworks. You will work with Python and OpenShift in scalable environments, driving automation and responsible AI practices.

This IC role emphasizes hands-on coding, mentorship, and delivering real business value, with a focus on cutting-edge models and enterprise-grade deployments.

Qualifications

• Extensive production-grade software engineering experience in enterprise environments.
• Expert-level proficiency in Python with deep understanding of generative AI concepts.

Responsibilities

• Architect & Build Production Systems: Lead hands-on development of Generative AI applications, LLM-powered solutions, and agentic frameworks in production environments.
• Pioneer Automation with Agents: Design intelligent agents to orchestrate complex workflows, reducing operational risk and increasing efficiency.
• Master Containerized Deployments: Demonstrate deep expertise with OpenShift environments and container technologies.
• Drive Technical Direction: Contribute to the technical strategy and roadmap for Generative AI adoption across products.
• Champion Engineering Excellence: Enforce rigorous testing, code reviews, documentation, and CI/CD practices.
• Iterate & Deliver: Drive rapid prototyping to production with measurable business value.

Skills

Python

LLMs

OpenShift

Distributed systems

Mentoring

Tools

Copilot

Devin

Job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of approximately 219,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in-class solutions, driving end-to-end transformation, and integrating cutting‑edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations.

The Team: Innovating at Scale

Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands‑on problem‑solving. We're not just adopting AI; we're building the intelligence that powers our enterprise.

The Role:

We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands‑on role for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deploying real‑world, commercial production systems , not just proofs‑of‑concept.

This is an Individual Contributor (IC) role with no direct people management responsibilities.

Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you.

As a Staff Generative AI Engineer, you will:

• Architect & Build Production Systems: Lead the hands‑on development of sophisticated Generative AI applications, LLM‑powered solutions, and intricate agentic frameworks primarily using Python . Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems.
• Pioneer Automation with Agents: Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale.
• Master Containerized Deployments: Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications within OpenShift environments.
• Drive Technical Direction & Ownership: Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production‑ready.
• Champion Engineering Excellence: Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission‑critical systems running in production.
• Innovate & Research: Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state‑of‑the‑art AI‑assisted development tools like Devin and Copilot to amplify your productivity and creativity.
• Mentor & Collaborate: Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross‑functional teams, product managers, and stakeholders to deliver impactful solutions.
• Iterate & Deliver: Thrive in an agile, fast‑paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind.
• Ensure Responsible AI: Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards.

Minimum Qualifications:

Professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise‑grade solutions in commercial production environments, not just proofs‑of‑concept.

Expert‑level proficiency in Python is a must‑have , with a deep understanding