AI Engagement Lead, New York
About the role:
Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization leading a GenAI project end-to-end from POC to full-scale implementation and you will be leading a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry-leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Role responsibilities
Client Relationship and Communication:
Lead discussions with clients and prospects to build AI product pipeline and expand to more processes.
Prioritize client engagement, strengthen relationships, and manage expectations proactively.
Act as a point of contact for client communication, feedback and escalations.
Evaluate and select use-cases for new product development and unlock new revenue opportunities for the client
Participate in client’s internal stakeholder meetings (when applicable) to capture, clarify, and consolidate requirements across functions, ensuring all inputs are properly documented and mapped into actionable product needs.
Tech Leadership:
Provide technical direction to the engineering team on appropriate solutioning & system design for a given problem statement
Align the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
Study new LLM research topics and engage in conversation on same with client stakeholders to showcase technical prowess and build value for Turing.
Team Leadership and Coordination:
Drive cross-functional alignment across engineering, product, and client success teams.
Remove blockers for both the client & internal teams by ensuring smooth communication and effective prioritization flows.
Conduct regular 1:1 meetings focused on support, expectations, delivery alignment, and general well-being.
Project Planning and Oversight:
Manage the big-picture program timeline (releases, phases, go-live plans) using engineering velocity and capacity inputs provided by the Engagement Manager.
Co-own delivery planning by managing the program-level timeline and facilitating Sprint Planning sessions ensuring release milestones and sprint goals are aligned with business priorities, clearly defined requirements, and the engineering capacity and feasibility inputs provided by the Engagement Manager.
Own overall delivery to ensure quality, scope, and timelines are consistently met.
Ensure robust business-facing documentation, including requirements documents, BRDs/PRDs, implementation plans, product roadmaps, and client-facing marketing or enablement materials.
Ensure delivery decisions reflect an understanding of operational costs, ROI, and long-term business impact.
Identify delivery risks, create proactive mitigation plans, and track program health across all milestones with keen insight.
Acknowledge new client requests promptly and partner with the Engagement Manager to assess feasibility, capacity, and timeline impact before providing any commitment to the client.
Required skills
Excellent communication skills & stakeholder management to effectively collaborate with client SMEs
Entrepreneurial & founders mindset to own end-to-end GenAI project deliveries and guide customers through various phases
10+ years of professional experience with at least 4+ years in driving Machine Learning & AI projects
Good understanding of the latest GenAI agentic designs and frameworks like Langchain, Langgraph, etc.
Understanding of Cloud services including Azure, GCP, or AWS
Understanding of Agile methodologies and project management tools like JIRA, Confluence.
Compensation Range: $240k - $260KValues