About the Role
We are seeking a seasoned AI / GenAI Solution Architect with deep expertise in AI / ML, LLMs, and Agentic Frameworks , who can design, build, and deliver enterprise-grade GenAI platforms. The ideal candidate will have strong technical acumen in Python, Azure AI stack, and CoPilot integrations , combined with hands-on experience in solution architecture, client engagement, and RFP / RFI leadership .
Key Responsibilities
Architect and deliver end-to-end GenAI, LLM, and Agentic AI solutions for enterprise clients.
Design scalable, secure, and cost-effective AI-ready architectures leveraging cloud technologies (Azure preferred).
Provide technical leadership in GenAI framework design , MLOps, and LLMOps implementations.
Develop AI CoPilots, chatbots, and agentic workflows using modern frameworks and APIs.
Lead proposal creation, estimations, and RFP / RFI responses for AI / GenAI engagements.
Collaborate with clients as a trusted AI advisor , driving solution roadmaps and transformation initiatives.
Build reference architectures, reusable components, and accelerators for GenAI adoption.
Collaborate cross-functionally with data engineering, product, and cloud teams to ensure successful delivery.
Required Qualifications & Skills
Experience :
15+ years of overall IT experience, with 5+ years as an AI / ML / GenAI Architect.
Technical Expertise :
Strong hands-on expertise in Python for AI / ML development.
Proven experience designing and implementing LLM and Agentic AI architectures.
Deep understanding of GenAI frameworks, MLOps, and LLMOps.
Strong exposure to data engineering pipelines (ETL, data lakes, orchestration).
Hands-on with Azure AI stack (Azure OpenAI, Cognitive Services, CoPilot, AI Studio).
Additional experience with GCP or AWS AI / ML services preferred.
Familiarity with Databricks, Snowflake, Palantir, or similar data platforms.
Client & Leadership Skills :
Proven success in client-facing roles , handling RFPs, proposals, and estimations.
Excellent stakeholder management, communication, and leadership abilities.
Ability to mentor teams and build GenAI solution accelerators and PoCs.
Preferred Certifications :
Azure AI Engineer / Azure Solution Architect / GCP ML Engineer / AWS ML Specialist certifications are an advantage.
Domain Exposure (Preferred) :
Experience in BFSI, Healthcare, Manufacturing, or Public Sector with regulatory-compliant AI systems.
Key Highlights
Hands-on Python, GenAI, LLM, and Agentic architecture experience
Strong Azure and CoPilot expertise
Ability to build (not just conceptualize) GenAI and agentic frameworks
Deep understanding of AI transformation programs at enterprise scale
Solution Architect • Bengaluru, Karnataka, India