AI Solutions Architect

4 days ago

Tiruchi, Tamil Nadu, India beBeeGenerative Full time ₹ 6,40,000 - ₹ 12,80,000
AI Consultant - Lead Gen

We're seeking an exceptional AI consultant to lead the development and deployment of cutting-edge Generative AI solutions. The ideal candidate will possess a deep understanding of AI technologies, including LLMs, RAG architectures, vector databases, embeddings, and agentic systems.

This role requires strong technical leadership skills, with the ability to manage client expectations and provide clear progress updates. Additionally, the successful candidate will be able to develop and deploy GenAI solutions using Python and relevant frameworks.

Key Responsibilities:

  • Solution Leadership: Engage with clients to understand business challenges and lead ideation and design of Generative AI solutions.
  • Technical Architecture: Translate client needs into actionable solution concepts, defining architecture, data strategy, model selection, and tooling required for success.
  • Project Ownership: Lead 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, fostering best practices and ensuring project accountability.
  • Hands-On Contribution: Remain hands-on with tools, models, and code to prototype, build, and troubleshoot complex components of the application.
  • Stakeholder Management: Serve as 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, and implementation roadmaps.

Required Skills and Qualifications:

  • Proven experience leading technical teams and taking ownership of AI-driven solutions.
  • Strong communication skills articulating complex technical concepts to 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, Azure OpenAI, or Google Vertex AI.
  • Prior experience in consulting, pre-sales, or freelance capacity is preferred.
  • Comfort with dynamic nature of short-term 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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