AI Solution Architect

Overview

Hands-on AI Solution Architect to design and help implement end-to-end GenAI and non-Gen AI applications, with a focus on agentic systems.

What you'll do

• Define end-to-end AI and non-AI system architecture with modularity, scalability, and security.
• Integrate AI capabilities into enterprise systems across services, APIs, MCPs, databases, and user interfaces.
• Design and optimize agentic workflows, RAG pipelines, and model-serving pipelines.
• Ensure software engineering best practices including CI/CD, MLOps, and automated testing.
• Implement observability for AI-driven apps (monitoring/logging, performance, anomaly identification).
• Collaborate with Agile teams to translate requirements into AI-driven architectures and validate solutions.

What you'll need

• 7+ years of experience in software architecture and engineering, including at least 3 years in AI-related projects.
• Proven experience designing and deploying large-scale, cloud-based AI and non-AI systems.
• Experience leveraging AI coding agents to accelerate full-stack development cycles.
• Must-have: production-level AI systems including RAG, vector databases, MCP, integrations, and observability/DevOps.
• Cloud expertise in AWS and multicloud, including serverless and IaC with Terraform.
• Advanced proficiency in Python with strong backend development and modern frontend ecosystem exposure.
• Eligibility/requirements: English communication at C1+ level.

Details

• Location: Hyderabad.