SynechronHiring

Gen AI Lead

  • USD 140,000 to 155,000 per year
  • New York, NY
  • Lead
  • Posted 2 days ago
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In one line

Lead role setting generative AI strategy and building production LLM applications for a consulting firm's financial services clients.

About the role

The firm has 17,000 people across 58 offices in 22 countries. This position owns technical direction for generative AI, from model choice and architecture through evaluation standards, and mentors the engineers who ship it.

At a glance

Pay
USD 140,000 to 155,000 per year
Location
New York, NY
Seniority
Lead
Skills
Large language models, Retrieval-augmented generation, Prompt engineering, Fine-tuning, Vector databases, Model evaluation
Posted
2 Nov 2026
Last checked
2 Nov 2026

What you will do

  • Set the generative AI technical strategy and roadmap, then lead architecture, design and deployment of solutions
  • Build production applications with large language models, foundation models and cloud AI services
  • Design retrieval-augmented generation, AI agents, prompt orchestration, fine-tuning and vector database work
  • Set standards for model evaluation, reliability, cost, security and responsible AI, and move proofs of concept into production

What they look for

  • Experience leading generative AI or machine learning engineering work and guiding technical teams
  • Hands-on knowledge of large language models, RAG, embeddings, vector databases and prompt engineering
  • Ability to work with data scientists, engineers, cloud architects, product managers and security teams
  • Skill at turning business needs into practical AI use cases

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Prompt
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Questions about this job

Where is this job based?

The posting lists Gen AI Lead as a role based in New York, NY, United States.

What does this job pay?

The posting states USD 140,000 to 155,000 per year.

What experience is needed?

It is a lead role. The posting asks for: experience leading generative AI or machine learning engineering work and guiding technical teams; hands-on knowledge of large language models, RAG, embeddings, vector databases and prompt engineering; ability to work with data scientists, engineers, cloud architects, product managers and security teams. Skills it names include Large language models, Retrieval-augmented generation, Prompt engineering, Fine-tuning.

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