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AI Engagement Lead

Training Superintelligence· Enterprise AI Engineering
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New York, NY$240k - $260kfull-timePosted 2mo ago

About the role

Leading GenAI projects end-to-end for Fortune 500 clients, driving technical direction, program planning, and cross-functional alignment within the Turing GenAI delivery organization.

Responsibilities

  • 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 to capture, clarify, and consolidate requirements
  • Provide technical direction to the engineering team on appropriate solutioning & system design
  • Align the engineering team toward a technical roadmap and ensure timely execution
  • Study new LLM research topics and engage with client stakeholders
  • Drive cross-functional alignment across engineering, product, and client success teams
  • Remove blockers for both the client and internal teams
  • Conduct regular 1:1 meetings focused on support, expectations, delivery alignment, and well-being
  • Manage the big-picture program timeline (releases, phases, go-live plans) using inputs from the Engagement Manager
  • Co-own delivery planning and facilitate Sprint Planning ensuring release milestones align with business priorities
  • Own overall delivery to ensure quality, scope, and timelines
  • Ensure robust business-facing documentation (requirements, BRDs/PRDs, implementation plans, roadmaps, client-facing materials)
  • Ensure delivery decisions reflect costs, ROI, and long-term business impact
  • Identify delivery risks, create mitigation plans, and track program health
  • Acknowledge new client requests and assess feasibility, capacity, and timeline impact before commitments

Qualifications

  • 10+ years of professional experience with at least 4+ years in driving Machine Learning & AI projects
  • Excellent communication skills & stakeholder management
  • Entrepreneurial & founders mindset to own end-to-end GenAI project deliveries
  • Good understanding of GenAI agentic designs and frameworks (e.g., Langchain, Langgraph)
  • Understanding of Cloud services (Azure, GCP, AWS)
  • Understanding of Agile methodologies and tools (JIRA, Confluence)

Skills

Required:Client relationship managementTechnical leadershipProgram and project managementCross-functional leadership

Benefits

  • Not specified in the description
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Training Superintelligence

Turing develops large-scale RL environments and data generation systems that train multimodal agents to improve model performance in coding, real-world, economically valuable tasks, and advanced STEM reasoning.

Train AIBuild AIHire AI TalentAI for BFSIEMNAIDatasetsEnterprise Knowledge WorkMultimodal
Company profileWebsite

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