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

<p><b>Analytics &amp; Information Management (AIM) – Third-Party Management </b> </p><p></p><p><b>Role Overview </b> </p> <p></p><p>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. </p><p>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. </p><p></p><p><b>Key Responsibilities </b> </p> <p></p><p></p><p><b>Team Leadership &amp; Strategy </b> </p> <p></p><li><b>Lead and Mentor: </b>Build, manage, and mentor a high-performing team of AI engineers and automation specialists in India. Foster a collaborative and innovative culture. </li><li><b>Strategic Planning: </b>Define and execute the strategic roadmap for AI and automation within the Third-Party Management function, aligning with broader business objectives. </li><li><b>Talent Development: </b>Oversee the career development, performance management, and recruitment of team members. </li><li><b>Technical Vision: </b>Establish the team’s technical vision and standards for building AI models, automation workflows, and intelligent applications. </li><p></p><p><b>Solution Delivery &amp; Technical Oversight </b> </p> <p></p><li><b>Oversee Development: </b>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. </li><li><b>Provide Guidance: </b>Offer expert technical guidance and architectural oversight on projects involving AI-powered copilots, knowledge assistants, and complex workflow automation using Python and Xceptor. </li><li><b>Ensure Quality: </b>Champion engineering excellence by ensuring the team delivers clean, modular, and production-ready code for reusable AI services, APIs, and components. </li><li><b>Manage Delivery: </b>Direct the development of multi-agent workflows and the engineering of enterprise knowledge repositories using vector databases and knowledge graphs. </li><p></p><p><b>Program &amp; Stakeholder Management </b> </p> <p></p><li><b>Business Partnership: </b>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. </li><li><b>Cross-Functional Collaboration: </b>Drive collaboration with technology, architecture, cybersecurity, data engineering, and AI governance teams to ensure seamless integration and compliance. </li><li><b>Program Management: </b>Manage the team’s project portfolio, defining priorities, allocating resources, and communicating progress to leadership. </li><p></p><p><b>Governance &amp; Best Practices </b> </p> <p></p><li><b>Enforce Compliance: </b>Ensure all AI solutions strictly adhere to enterprise governance, security, and model risk management requirements. </li><li><b>Champion Best Practices: </b>Establish and promote best practices for MLOps/LLMOps, including model evaluation, monitoring, auditability, and explainability. </li><li><b>Drive Innovation: </b>Stay abreast of industry trends and continuously evaluate new technologies and methodologies to enhance the team's capabilities and efficiency. </li><p></p><p><b>Required Qualifications </b> </p> <p></p><li>Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related discipline. Master’s degree preferred. </li><li><b>Proven leadership experience, </b>with a strong track record of managing and developing a team of technical professionals (engineers, data scientists). </li><li>Significant hands-on experience in software engineering, AI engineering, analytics, or data science. </li><li><b>Demonstrated experience in project management, </b>successfully delivering complex technical solutions from concept through to production. </li><li>Strong Python programming skills and experience building REST APIs and backend applications. </li><li>Excellent stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences. </li><li>Excellent written and verbal communication skills. </li><p></p><p><b>Preferred Qualifications </b> </p> <p></p><p>Experience in one or more of the following: </p><li>Leading teams in LLM application development (RAG, Agentic AI). </li><li>Managing projects involving automation platforms like Xceptor. </li><li>Vector databases, Knowledge Graphs, and AI orchestration frameworks. </li><li>MLOps, LLMOps, and CI/CD in an enterprise setting. </li><li>Banking, financial services, or risk management domains. </li><p></p><p><b>Technical Skills </b> </p> <p></p><p><b>Programming </b> </p><li>Python (Expert) </li><li>SQL </li><p><b>AI &amp; Machine Learning </b> </p><li>LLM Applications, RAG, AI Agents </li><li>NLP and Prompt Engineering </li><p><b>Frameworks &amp; Platforms </b> </p><li>Xceptor </li><li>Google ADK, OpenAI APIs </li><li>Model Context Protocol (MCP) </li><p><b>Data Technologies </b> </p><li>Vector Databases (, Neo4j, Redis) </li><li>PostgreSQL </li><p><b>Engineering &amp; DevOps </b> </p><li>FastAPI, REST APIs </li><li>Git, Docker, Kubernetes, CI/CD </li><p></p><p><b>Leadership Expectations </b> </p> <p></p><li><b>Strategic Leadership: </b>Develop and articulate a clear strategic vision for the team, driving innovation while delivering measurable business outcomes. </li><li><b>Talent Champion: </b>Attract, develop, and retain top engineering talent, fostering an environment of continuous learning and growth. </li><li><b>Influence and Impact: </b>Effectively communicate and influence at all levels of the organization, from junior engineers to senior business leaders. </li><li><b>Ownership and Accountability: </b>Take ultimate ownership for the team's performance and the successful delivery of its commitments. </li><li><b>Promote Responsible AI: </b>Champion ethical and responsible AI practices, ensuring fairness, transparency, and compliance in all solutions. </li><p>------------------------------------------------------ </p><p></p><p><b><b>Job Family Group: </b> </b> </p> <p></p>Decision Management<p>------------------------------------------------------ </p><p></p><p><b><b>Job Family: </b> </b> </p> <p></p>Business Analysis<p>------------------------------------------------------ </p><p></p><p><b><b>Time Type: </b> </b> </p> <p></p>Full time<p>------------------------------------------------------ </p><p></p><p><b><b>Most Relevant Skills </b> </b> </p> <p></p>Please see the requirements listed above.<p>------------------------------------------------------ </p><p></p><p><b><b>Other Relevant Skills </b> </b> </p> <p></p>For complementary skills, please see above and/or contact the recruiter.<p>------------------------------------------------------ </p>