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Principal AI Solution Architect Andheri East Mumbai

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Description

Job Description: Principal AI Solution Architect

Experience: 12+ years in IT, with strong expertise in AI/ML, Generative AI, cloud architecture, and technical leadership.

Shift Timings : 12PM -9PM

5 days Work from Office (Monday to Friday)

Exp working with Financial Domain


Role Overview

We are looking for an experienced Principal AI Solution Architect to lead enterprise AI solution design, presales, and delivery. The ideal candidate will combine hands-on expertise in Generative AI, Agentic AI, cloud platforms, and enterprise architecture with strong client engagement and stakeholder management skills.


Key Responsibilities

  • Design and architect end-to-end AI/ML, Generative AI, RAG, and Agentic AI solutions.
  • Lead presales activities, technical discovery, client workshops, solution presentations, and RFP/RFI responses.
  • Develop PoCs, prototypes, solution proposals, architecture diagrams, and implementation roadmaps.
  • Build intelligent AI agents, multi-agent workflows, conversational AI, and enterprise automation solutions.
  • Architect scalable, secure, and cost-effective cloud solutions across AWS, GCP, and Azure.
  • Implement MLOps, CI/CD, monitoring, security, and governance best practices.
  • Collaborate with sales, business, data science, engineering, and delivery teams to translate business requirements into technical solutions.
  • Mentor technical teams and drive AI innovation, reusable accelerators, and architectural excellence.

Required Skills

  • AI/ML & GenAI: LLMs, RAG, NLP, Agentic AI, prompt engineering, fine-tuning, and recommendation systems.
  • Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, and Google ADK.
  • Cloud: AWS Bedrock, Lambda, SageMaker, GCP Vertex AI, GKE, and Azure AI services.
  • Technologies: Python, SQL, REST APIs, Docker, Kubernetes, vector databases, and MLOps.
  • Architecture: Microservices, distributed systems, API-driven platforms, security, scalability, and cloud cost optimization.

Qualifications

  • Experience in software engineering, architecture, or technology leadership.
  • Proven experience delivering production-grade AI/ML and Generative AI solutions.
  • Strong experience in enterprise solution architecture, client-facing consulting, and technical leadership.
  • Excellent communication, presentation, stakeholder management, and problem-solving skills.
  • Relevant AWS, Azure, GCP, or AI certifications are an advantage.

Preferred Experience

Experience in enterprise AI transformation, presales solutioning, proof-of-concept development, proposal preparation, and industry-specific AI solutions across financial services, travel, real estate, or other enterprise domains.


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