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

Analytics & Information Management (AIM) – Third-Party Management

Role Overview

We 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 Qualifications

Experience 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.

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