AI Solution Designer

• Location:

Pune / Chennai / Kolkata

• Experience:

8-12 Years

About the Job Opening

• Experience: 8+ Years (with at least 3+ years in AI Solution Design)
• Role Type: Full-Time
• Position Summary: We are seeking an experienced AI Solution Designer with deep expertise in designing and delivering GenAI-powered enterprise solutions using the Microsoft AI ecosystem. The ideal candidate should have hands-on experience working with No-Code, Low-Code, and Pro-Code delivery models, and designing single- and multi-agent AI systems leveraging diverse LLMs for automation, insights, and intelligent experiences. Hands-on with frameworks like LangGraph, LangChain, AutoGen, Semantic Kernel, MCP, A2A. Experience in other hyperscalers such as AWS and Google Cloud will be considered a strong advantage.
• The candidate must also be proficient in leading cross-functional teams, including AI engineers, data engineers, and testers, and confident in engaging with business stakeholders and customers to drive AI strategy and solution adoption.
• Key Responsibilities
• Solution Design & Architecture
• Architect and design scalable AI/GenAI solutions using Microsoft’s AI services such as Azure OpenAI, Copilot Studio, Cognitive Services, Azure ML, and Power Platform.
• Build reusable blueprints and accelerators for agentic systems, LLM orchestration, RAG pipelines, knowledge-grounded workflows, AI-driven automations, and enterprise integrations.
• Define API, data, and integration architecture with enterprise applications (ERP, CRM, Collaboration tools, and Data Platforms).
• End-to-End Delivery
• Lead full lifecycle delivery: design, build, integrate, test, deploy, and monitor AI solutions.
• Utilize No-Code (Power Platform), Low-Code, and Pro-Code (Python, APIs, AI frameworks, Azure services) for implementation.
• Ensure robustness through governance, security, model evaluation, AIOps/LLMOps, performance optimization, and token-cost control.
• Team Leadership & Collaboration
• Lead and mentor AI solution developers, data engineers, and testers across delivery engagements.
• Work closely with Solution architects, delivery leads, and business stakeholders to align AI solutions with objectives.
• Customer Engagement & Advisory
• Lead technical and business conversations with clients to map requirements and shape AI-led transformation strategies.
• Advise on GenAI adoption, AI strategy, use-case prioritization, architecture best practices, responsible AI, governance, and platform roadmaps.
• Required Skills & Qualifications: 8+ years of IT experience, with minimum 3+ years in AI/GenAI Solution Design.
• Proven hands-on expertise with Microsoft AI stack:
• Azure OpenAI, Copilot Studio, Cognitive Services, Azure ML,
• Power Platform (Power Automate, Power Apps, AI/CoPilot Agents)
• Azure Functions, Logic Apps, Service Bus, API & integration architecture
• Deep experience with agentic & LLM orchestration frameworks, including:
• LangGraph, LangChain, AutoGen, Semantic Kernel
• MCP (Model Context Protocol), A2A (Agent-to-Agent frameworks)
• Strong experience in designing:
• Single- and Multi-Agent Systems
• RAG architectures and Knowledge-Grounded AI
• Automation agents, decision agents, and multimodal AI
• Insight generation & conversational AI solutions
• Good understanding of:
• LLMOps/AIOps pipelines & monitoring
• Token optimization & AI cost governance
• Security, compliance, and Responsible AI principles
• Nice-to-Have Skills
• Exposure to AWS (Bedrock, SageMaker) and Google Cloud (Vertex AI).
• Certifications in Azure AI/Cloud.
• Understanding of data engineering and pipelines (Spark, Data Factory, Fabric).
• Soft Skills
• Excellent communication and technical articulation skills.
• Ability to lead client conversations and influence strategic decisions.
• Strong leadership, analytical thinking, and problem-solving capabilities.
• Creative mindset to innovate using emerging AI technologies.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related fields (or equivalent practical experience).