Engagement Manager

Engagement Manager to lead Agentic AI and cloud transformation projects. Act as orchestrator between enterprise stakeholders and highly technical engineering teams, ensuring autonomous AI solutions are delivered on time, within scope, and aligned with business value on AWS. Key Responsibilities Strategic Client Advisory: Lead workshops with client executives to translate manual business processes into roadmaps for autonomous AI agents and multi-agent workflows. Delivery Oversight: Direct agile squads of data scientists, GenAI engineers, and AWS architects, ensuring smooth project execution without being involved in implementation. Risk Management: Track and mitigate project risks unique to autonomous AI, such as managing hallucination thresholds, implementing cost-per-token budgeting, and defining human-in-the-loop (HITL) checkpoints. AWS Partner Alignment: Coordinate with customer account teams to align project milestones with AWS Best Practices. Scope & Financial Governance: Manage statement of work (SOW) compliance, project timelines, burn rates, and resource allocation. Core Requirements Project Delivery Experience: Proven track record of successfully managing and launching complex IT projects, specifically focusing on cloud infrastructure (AWS) and Generative AI initiatives. Conceptual Tech Literacy: Strong conceptual understanding of AWS AI services (e.g., Amazon Bedrock, Knowledge Bases, Guardrails) and Agentic concepts (RAG, multi-agent orchestration, function calling) to effectively communicate with engineers and clients. Agile Leadership: Expert knowledge of Scrum/Kanban frameworks to manage delivery velocity and remove administrative blockers for the technical team. Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Paid Paternity and Maternity Leave The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation. Disclaimer The compensation and benefits information provided herein is accurate as of the date of this posting. #J-18808-Ljbffr