Solution Architect - AI

Position: Solution Architect - AI

Location: Pune/Nagpur/Bangalore/Chennai

Type of Employment: Full-time

Purpose of the Position:

As an AI Solution Architect, you will be responsible to develop effective and high-quality program solutions that meet business requirements. You will serve as a strategic and hands-on consultant to clients and prospects, guiding them through the adoption and implementation of AI-led solutions. This role demands deep expertise and understanding in Data Science, ML Algorithms, GenAI technologies, Emerging AI-led Data Platforms, no-code platforms, agentic frameworks, and enterprise AI stacks. You would also apply your domain understanding to pre-build business solutions that addresses specific business challenges.

Key Result Areas and Activities

AI Consulting & Strategy

• Engage with clients proactively to understand business challenges and identify AI-led opportunities.
• Innovate and present tailored AI strategies and AI-led point solutions
• Translate business needs into AI solution architectures and actionable roadmaps for clients

Solution Design & Prototyping

• Architect and design Data Science solutions applying principles of both discriminative AI through ML modelling and Generative / Agentic AI that best addresses the client needs
• Build rapid prototypes using no-code/low-code platforms and UI tools
• Apply GenAI/ML techniques to solve vertical-specific problems (e.g., retail, pharma, media).
• Collaborate with cross-functional teams, domain experts to validate feasibility and scalability.

Research & Innovation

• Proactively build innovative AI-led point solutions/utilities for common/emerging business problems or opportunities
• Continuously research emerging AI technologies and adopt to take an edge over competitors

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• Incubate a team to proactively build reusable AI artefacts and demo-able assets

Proposal Development & Presentation

• Draft and deliver proposals and presentations for AI-led solutions.
• Articulate value propositions to both technical and non-technical stakeholders.
• Support pre-sales efforts with demos, PoCs, and client workshops.

Technical Stack Awareness

• Advice on implementation using AI platforms & Frameworks like:
• Databricks AI, Snowflake Cortex, Azure Foundry, AWS Bedrock, AI/ML Ecosystem, LangChain, LangGraph, and other Multigenetic frameworks, Analytics Co-pilots, OpenAI, Anthropic LLM fine-tuning tools
• Understand application development lifecycle and recommend optimal tech stacks.

Project delivery

• Lead the delivery of Data Science project outcomes by collaborating with other team members.
• Engage actively in Data Discovery, Data cleansing, Data Analysis, Feature Selection, and in building ML models for prediction systems. Engage in prompt generation, chunking methodology, fine tuning for Gen AI based application build