AI Automation (Appian, Xceptor, RPA) Lead-Vice President

Citibank (Switzerland) AG; Gurugram District; On-site; Confidential; Full time

Job summary

Citibank (Switzerland) AG seeks a visionary AI Automation Lead-Vice President to guide a skilled team of AI engineers and automation experts in India. You will shape the roadmap for third-party risk AI, implement enterprise-grade AI models, and oversee end-to-end delivery from ideation to production.

You will drive governance, maintain high engineering standards, and collaborate with data governance, cybersecurity, and stakeholder teams to deliver scalable AI capabilities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; Master’s preferred.

Responsibilities

• Lead and mentor a high-performing AI/automation team in India.
• Define and execute the strategic roadmap for AI/automation within Third-Party Management.
• Oversee end-to-end delivery of AI solutions including LLMs, RAG, and agentic AI architectures.
• Ensure governance, security, and model risk management compliance.

Skills

Python programming

REST APIs

Stakeholder management

Team leadership

Project management

Communication

ML/AI engineering

Education

Bachelor's degree in CS/Engineering/Math

Master's degree preferred

Tools

Xceptor

Neo4j

Redis

FastAPI

Docker

Kubernetes

OpenAI APIs

Job description

## AI Automation Lead-Vice PresidentApplyremote type: Hybridlocations: Gurugram Haryana Indiatime type: Full timeposted on: Posted Todayjob requisition id: 26976781**Analytics & Information Management (AIM) – Third-Party Management**## ## Role OverviewWe are seeking a visionary and experienced leader to serve as the Vice President for our AI and Automation team. In this role, you will lead a specialized team of AI engineers and automation experts to design, build, and deploy enterprise-grade intelligent solutions. Your primary objective will be to transform how Third-Party Management assesses, monitors, and manages supplier and vendor risks through the strategic application of AI and automation technologies like Python and Xceptor.This senior role requires a blend of deep technical expertise, strategic vision, and exceptional people leadership. The successful candidate will be responsible for setting the team's technical direction, managing the end-to-end delivery of complex projects, and fostering the growth of a high-performing team. You will act as a key partner to business leaders, data engineers, and enterprise governance teams to deliver scalable, compliant, and impactful AI capabilities.## ## Key Responsibilities## ## Team Leadership & Strategy* **Lead and Mentor:** Build, manage, and mentor a high-performing team of AI engineers and automation specialists in India. Foster a collaborative and innovative culture.* **Strategic Planning:** Define and execute the strategic roadmap for AI and automation within the Third-Party Management function, aligning with broader business objectives.* **Talent Development:** Oversee the career development, performance management, and recruitment of team members.* **Technical Vision:** Establish the team’s technical vision and standards for building AI models, automation workflows, and intelligent applications.## ## Solution Delivery & Technical Oversight* **Oversee Development:** Manage the end-to-end lifecycle of AI solutions, from ideation and design through to deployment and production support. This includes solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.* **Provide Guidance:** Offer expert technical guidance and architectural oversight on projects involving AI-powered copilots, knowledge assistants, and complex workflow automation using Python and Xceptor.* **Ensure Quality:** Champion engineering excellence by ensuring the team delivers clean, modular, and production-ready code for reusable AI services, APIs, and components.* **Manage Delivery:** Direct the development of multi-agent workflows and the engineering of enterprise knowledge repositories using vector databases and knowledge graphs.## ## Program & Stakeholder Management* **Business Partnership:** Serve as the primary point of contact for senior business stakeholders to understand strategic challenges, identify opportunities for AI, and ensure solutions deliver business value.* **Cross-Functional Collaboration:** Drive collaboration with technology, architecture, cybersecurity, data engineering, and AI governance teams to ensure seamless integration and compliance.* **Program Management:** Manage the team’s project portfolio, defining priorities, allocating resources, and communicating progress to leadership.## ## Governance & Best Practices* **Enforce Compliance:** Ensure all AI solutions strictly adhere to enterprise governance, security, and model risk management requirements.* **Champion Best Practices:** Establish and promote best practices for MLOps/LLMOps, including model evaluation, monitoring, auditability, and explainability.* **Drive Innovation:** Stay abreast of industry trends and continuously evaluate new technologies and methodologies to enhance the team's capabilities and efficiency.## ## Required Qualifications* Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline. Master’s degree preferred.* **Proven leadership experience,** with a strong track record of managing and developing a team of technical professionals (engineers, data scientists).* Significant hands-on experience in software engineering, AI engineering, analytics, or data science.* **Demonstrated experience in project management,** successfully delivering complex technical solutions from concept through to production.* Strong Python programming skills and experience building REST APIs and backend applications.* Excellent stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.* Excellent written and verbal communication skills.## ## Preferred QualificationsExperience in one or more of the following:* Leading teams in LLM application development (RAG, Agentic AI).* Managing projects involving automation platforms like Xceptor.* Vector databases, Knowledge Graphs, and AI orchestration frameworks.* MLOps, LLMOps, and CI/CD in an enterprise setting.* Banking, financial services, or risk management domains.## ## Technical Skills**Programming*** Python (Expert)* SQL**AI & Machine Learning*** LLM Applications, RAG, AI Agents* NLP and Prompt Engineering**Frameworks & Platforms*** Xceptor* Google ADK, OpenAI APIs* Model Context Protocol (MCP)**Data Technologies*** Vector Databases (e.g., Neo4j, Redis)* PostgreSQL**Engineering & DevOps*** FastAPI, REST APIs* Git, Docker, Kubernetes, CI/CD## ## Leadership Expectations* **Strategic Leadership:** Develop and articulate a clear strategic vision for the team, driving innovation while delivering measurable business outcomes.* **Talent Champion:** Attract, develop, and retain top engineering talent, fostering an environment of continuous learning and growth.* **Influence and Impact:** Effectively communicate and influence at all levels of the organization, from junior engineers to senior business leaders.* **Ownership and Accountability:** Take ultimate ownership for the team's performance and the successful delivery of its commitments.* **Promote Responsible AI:** Champion ethical and responsible AI practices, ensuring fairness, transparency, and compliance in all solutions.