Chief GenAI Architect

1 week ago

Anantapur, Andhra Pradesh, India beBeeGenerative Full time ₹ 20,00,000 - ₹ 35,00,000
Lead Generative AI Engineer

We are seeking a skilled Lead Generative AI Engineer to partner with us on pre-sales activities, discovery sessions, and short-term proof-of-concept projects.

As a member of our team, you will be at the forefront of shaping and delivering high-impact GenAI solutions, taking ownership from conception to deployment for our clients.

Key Responsibilities:

  • Engage directly with clients to understand their business challenges and lead the ideation and design of innovative Generative AI solutions.
  • Translate client needs into actionable solution concepts, defining the architecture, data strategy, model selection, and tooling required for success.
  • Lead the end-to-end delivery of GenAI solutions, ensuring technical quality, alignment with business goals, and timely execution of project milestones.
  • Guide and mentor cross-functional teams, including other engineers and data scientists, fostering best practices and ensuring project accountability.
  • Remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
  • Serve as the key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
  • Collaborate with internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.

Requirements:

  • Proven experience leading technical teams and taking ownership of the design, development, and deployment of AI-driven solutions.
  • Strong, client-facing communication skills with the ability to articulate complex technical concepts to both executive and technical stakeholders.
  • Deep understanding of Generative AI technologies, including LLMs, RAG architectures, vector databases, embeddings, and agentic systems.
  • Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks.
  • Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker or Google Vertex AI.
  • Prior experience in a consulting, pre-sales, or freelance capacity is strongly preferred, demonstrating an ability to work effectively with external clients.
  • Comfort with the dynamic nature of short-term PoC projects where requirements may evolve.

Availability:

  • 5 - 8 hours overlap with EST, according to client needs
  • Immediate or up to 1-2 weeks notice
  • Open to short-term projects such as discovery proposals and 6 weeks POCs

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