• Implement AI solutions using OOTB products and standard approaches • Execute technical project phases according to defined timelines and budgets • Manage scope adherence and prevent scope creep through technical controls • Ensure all technical deliverables meet quality and standards requirements • Own technical implementation from handoff through go-live • Coordinate technical activities across project phases • Manage technical resources and timeline commitments • Provide regular status updates on technical delivery progress • Implement and maintain technical standards across all deliveries • Ensure compliance with architectural and design guidelines • Drive adoption of approved tools, methods, and practices • Act as owner of technical implementation excellence • Interface with customers on technical implementation requirements • Collaborate with Solution Architects on technical feasibility and design • Work with Technical Support Engineers to ensure smooth solution handoff • Coordinate with Center of Excellence on delivery readiness • Enhance and maintain self-help repositories such as knowledge bases, Q&As, and learning platforms • Collaborate closely with the Product Team to ensure strong feedback loops • Work with the AI Context Team to boost the accuracy and performance of machine learning models and product offerings.

• Lead applied AI research in LLMs, agent frameworks, RAG, embeddings, and multimodal document understanding • Drive productization: transform prototypes into scalable, reliable SaaS and on-prem solutions • Design and refine AI pipelines for automation (prompting, orchestration, validation, continuous learning) • Collaborate with Product, PS, and CS teams to ensure customer requirements translate into robust AI features • Mentor and grow AI engineers, delivery specialists, and researchers; help define team structure • Represent the company’s AI vision internally and externally, including with strategic partners and enterprise clients • Balance experimentation and delivery: move fast, but with enterprise-grade quality

• Conduct comprehensive quality reviews of AI solution deliveries • Establish and maintain quality gates across delivery phases • Ensure all deliverables meet quality criteria and satisfy business requirements • Drive continuous improvement of quality processes and standards • Master prompt engineering techniques and optimization strategies • Optimize AI model performance and accuracy for customer use cases • Develop and maintain prompt libraries and best-practice guidelines • Lead application performance improvements and optimization initiatives • Analyze business requirements and ensure technical solutions deliver measurable value • Measure and report on business value delivery and ROI • Serve as the quality liaison during customer acceptance processes • Provide business-focused recommendations for solution optimization • Support customer success through performance monitoring and enhancements

• Develop and implement strategies for leveraging Generative AI, Agentic AI, and Robotic Process Automation to automate workflows, tasks, or decisions that increase operational efficiency and effectiveness. • Serve as a subject matter expert, engaging with business leaders, architecting scalable solutions and driving informed decisions across the organization • Design, implement, and maintain an MVB AI and Automation Playbook that serves as the guidelines for onboarding and maintaining AI and Automation technologies at MVB. • Work with the BTO, Stakeholders and technical leads to translate business goals into technical solutions • Define and provide oversight to AI/ML/RPA best practices and lifecycle, including model training, maintenance, and optimization • Establish key metrics for monitoring the effectiveness, safety, and efficacy of AI/ML technologies at MVB • Responsible for the AI Governance Framework, working closely with Data Governance and Information security to ensure the appropriate policies, controls, and oversight are in place and effective • Develop and evolve AI and emerging technology training for end users • Foster a culture of engagement and continuous learning within the MVB end user community • Manage AI and Automation vendor relationships and ensure compliance to all agreements with MVB. • Analyze performance metrics to evaluate the effectiveness of AI and automation initiatives and identify areas for continuous improvement • Design and lead Pilots and POCs, operational tests, and monitored deployments of automation technologies (AI, RPA,etc) to strengthen business case assumptions and optimize for scalability • Analyze process automation requirements and design RPA solutions, architecture, and logic in collaboration with the Business Transformation Office