Strategic Gen AI Solutions Architect

5 days ago

Nellore, Andhra Pradesh, India beBeeGenerative Full time ₹ 10,83,609 - ₹ 15,14,974
About the Role

As a Lead Gen AI Consultant, you will be at the forefront of shaping and delivering high-impact Generative AI solutions.

This role requires individuals who are established independent consultants, comfortable with short-notice, and open to fractional or project-based engagements.

Key Responsibilities
  • Solution Leadership: Engage directly with clients to understand their business challenges and lead the ideation and design of innovative Generative AI solutions.
  • Technical Architecture: Translate client needs into actionable solution concepts, defining the architecture, data strategy, model selection, and tooling required for success.
  • Project Ownership: Lead the end-to-end delivery of GenAI solutions, ensuring technical quality, alignment with business goals, and timely execution of project milestones.
  • Team Mentorship: Guide and mentor cross-functional teams, including other engineers and data scientists, fostering best practices and ensuring project accountability.
  • Hands-On Contribution: While leading the project, remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
  • Stakeholder Management: Serve as the key technical point of contact for clients, managing expectations, providing clear progress updates, and maintaining strong relationships.
  • Proposal Development: Collaborate with internal teams to co-develop tailored proposals, Statements of Work (SOWs), and implementation roadmaps.
Required Skills and Qualifications
  • 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 (e.g., GPT, Claude, LLaMA), RAG architectures, vector databases, embeddings, and agentic systems.
  • Demonstrated ability to develop and deploy GenAI solutions using Python and relevant frameworks (e.g., LangChain, LlamaIndex).
  • Hands-on experience with cloud-based ML/AI services such as AWS Sagemaker, Azure OpenAI, 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.
Benefits
  • 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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