Level

Turing

AI Engagement Lead

Turing is hiring an AI Engagement Lead in New York, United States. It pays $240k-$260k a year and Level rates it ; you can apply on Turing.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions LangChain, LangGraph and Python among its tools and skills.
  • Level classes it as a lead role.
  • Turing has 29 other open roles on Level.

AI in this role

Lead an AI delivery organization building multi-agent LLM systems and RAG implementations for Fortune 500 clients from POC to production.

langchainlanggraphpythonllm-frameworksrag
ragai-research
About Turing

Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. 

 

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 - $260K

Values

  • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.

  • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection

  • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.

Advantages of joining Turing

  • Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.

  • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.

  • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.

  • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.

  • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.

 

Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

For applicants from the European Union, please review Turing's GDPR notice here.

 

How we rate this

AI Engagement Lead at Turing rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI ResearchLangChainLangGraphPythonLLM Frameworks

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Tell me about a research question you investigated. What did you find?
  3. What are the limits of LangChain that you've run into, and how did you work around them?
  4. What's a project where you used LangGraph hands-on?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG, AI Research, LangChain, LangGraph, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new AI jobs (Builds AI ●●●●) by email

One email a week with the new AI jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Other roles that build AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Turing

Related searches

Same AI level

Jobs by city