Lead GenAI Developer

CapgeminiNew York, NY
1d$125,000 - $135,000

About The Position

We are seeking a Senior Generative AI Lead to define build and scale enterprisegrade Generative AI solutions This role sits at the intersection of AI strategy handson engineering and business transformation You will lead GenAI initiatives endtoendfrom ideation and architecture to production deploymentwhile mentoring teams and shaping the organizations AI roadmap. This is a senior highimpact role suited for a leader who can translate business problems into scalable GenAI solutions and guide stakeholders through responsible secure and valuedriven. AI adoptionKey Responsibilities.

Responsibilities

  • Define and own the Generative AI strategy and roadmap aligned to business priorities.
  • Identify highvalue use cases across domains such as operations risk compliance customer experience and engineering productivity.
  • Act as a thought leader on GenAI advising senior stakeholders on capabilities limitations and ROI.
  • Establish AI governance responsible AI practices and model risk controls for enterprise use.
  • Design and oversee endtoend GenAI architectures including.
  • Large Language Models LLMs.
  • RetrievalAugmented Generation RAG.
  • Agentic and multiagent workflows.
  • Lead decisions on model selection finetuning prompt engineering and inference optimization.
  • Ensure solutions meet enterprise standards for scalability security performance and observability.
  • Lead and review implementation of GenAI solutions using Python and modern ML frameworks.
  • Build and deploy APIs and services integrating GenAI into existing platforms and workflows.
  • Partner with cloud teams to deploy solutions on AWS Azure or GCP using managed GenAI services.
  • Guide teams through productionization including monitoring evaluation and continuous improvement.
  • Collaborate closely with Product Data Science Engineering Security Legal and Compliance teams.
  • Mentor and upskill engineers data scientists and analysts in GenAI best practices.
  • Establish reusable frameworks reference architectures and accelerators for GenAI adoption.
  • Support client or internal stakeholder engagements including demos pilots and scaleout programs.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service