AI / GenAI Solution Architect

Location : Bangalore

Experience :

15+ years (including 5+ years in AI / ML / GenAI Architecture)

Employment Type : Full-time

Key Skills :

Python, GenAI, LLM Architecture, Azure AI, CoPilot Development, Agentic Frameworks, MLOps / LLMOps, Data Engineering, Solution Architecture, RFP & Client Engagement.

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