Enterprise GenAI Solution Architect
Role Overview
Hands-on Enterprise GenAI Solution Architect role with 12+ years of experience sought across software engineering, system design, and enterprise architecture.
Work directly with enterprise customers on proof-of-concept and modernization engagements and contribute to agentic AI platforms.
The role partners with executives, stakeholders, and engineering teams to design and scale secure, governed enterprise AI solutions.
Key Skills for This Role
Full Job Posting
About the role
Hands-on Enterprise GenAI Solution Architect role with 12+ years of experience sought across software engineering, system design, and enterprise architecture.
Work directly with enterprise customers on proof-of-concept and modernization engagements and contribute to agentic AI platforms.
The role partners with executives, stakeholders, and engineering teams to design and scale secure, governed enterprise AI solutions.
AI architecture and platforms
- Design enterprise GenAI platforms, multi-agent frameworks, and autonomous agent systems for complex workflow automation.
- Architect RAG pipelines with hybrid search, vector databases, knowledge graphs, and enterprise retrieval.
- Lead context engineering, model routing, LLM gateways, guardrails, and agent observability.
- Drive AI-assisted SDLC transformation and automated code modernization.
Engineering and cloud
- Architect event-driven microservice backends using Python, Node.js, or Java and oversee scalable React, Next.js, or Angular applications.
- Design isolated sandboxes and agent tool integrations, including use of the Model Context Protocol.
- Design cloud-native AI infrastructure across AWS, Azure, or GCP; establish containerized execution with Docker and Kubernetes.
- Apply infrastructure as code, CI/CD, and DevOps/MLOps practices; set standards for reliability, security, evaluation, performance, and cost.
Client and technical leadership
- Lead customer workshops, architecture review boards, and AI governance sessions.
- Own multiple customer POCs, translating business problems into scalable solutions and roadmaps.
- Lead and mentor technical teams in AI systems design, distributed architecture, and software engineering.
Required experience
- 12+ years of progressive software engineering, system design, and enterprise solution architecture experience; at least 2 years of dedicated hands-on GenAI experience.
- Production experience with a multi-agent framework such as LangGraph, CrewAI, LangChain, AutoGen, or Microsoft Agent Framework.
- Deep LLM, prompt design, fine-tuning, context management, and guardrail experience; expertise in vector search and enterprise retrieval engines.
- Hands-on frontend experience with React, Next.js, or Angular and TypeScript; advanced backend capability in Python, Node.js, or Java.
- Database expertise across relational and NoSQL systems and experience with cloud-native architecture, event-driven systems, distributed systems, and API design.
- Hands-on familiarity with Docker, Kubernetes, CI/CD, infrastructure as code, and DevOps/MLOps.
- Exposure to application security, identity integration, secure sandboxing, and strong consultative and executive communication skills.
Preferred qualifications
- Graph database experience, such as Neo4j, is a strong plus.
- Preferred experience includes a master's degree, cloud or AI architecture certifications, LLM gateway or evaluation-engine work, technical publications or speaking, and legacy modernization initiatives.
Location and work arrangement
- The role is listed as hybrid in Chennai, Hyderabad, or Bangalore.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career