AI Solutions Architect

24 hours ago

Delhi, Delhi, India beBeeGenerative Full time ₹ 80,00,000 - ₹ 1,00,00,000
Job Overview

We are seeking a seasoned leader to spearhead the development and deployment of cutting-edge Generative AI solutions.

This is an exceptional opportunity for a visionary consultant to drive innovation, collaborate with cross-functional teams, and deliver impactful results for clients.

Key Responsibilities:
  • Solution Leadership: Collaborate 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.
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.
Requirements:
  • Proficiency in Python programming language.
  • Familiarity with cloud-based ML/AI services.
  • Experience with Generative AI technologies.
  • Strong communication and stakeholder management skills.

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