Job Title: Senior Solution Architect – Generative AI & Agentic AI

Experience

10–12 Years

Job Summary

We are looking for a highly skilled Senior Solution Architect with deep expertise in Generative AI, Agentic AI, and cloud-native architectures. The ideal candidate will have strong hands-on experience in designing, developing, and deploying enterprise-grade AI solutions using Python, GCP/Azure, Google ADK/ Microsoft Semantic Kernel/ LangGraph/LangChain.

This role requires a blend of technical leadership, solution architecture, and hands-on engineering. You will collaborate with business stakeholders, engineering teams, and customers to architect scalable AI-powered applications and provide technical direction throughout the project lifecycle.

Key Responsibilities

• Design and develop enterprise-grade AI solutions using Generative AI and Agentic AI frameworks.
• Architect scalable, secure, and production-ready applications on Google Cloud Platform (GCP) and/or Microsoft Azure.
• Build intelligent AI agents and multi-agent workflows using Google ADK, Microsoft Semantic Kernel, LangGraph, and LangChain.
• Develop robust backend services and AI orchestration workflows using Python.
• Lead architecture discussions, define technical roadmaps, and establish engineering best practices.
• Translate business requirements into scalable AI solution architectures.
• Integrate Large Language Models (LLMs), vector databases, APIs, and enterprise systems into AI applications.
• Optimize AI applications for scalability, performance, security, and cost efficiency.
• Collaborate with product managers, engineering teams, and business stakeholders to deliver high-impact AI solutions.
• Mentor engineers, conduct design and code reviews, and provide technical guidance.
• Stay updated with the latest advancements in Generative AI, Agentic AI, cloud technologies, and AI frameworks.

Required Skills

AI & Machine Learning

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience building Agentic AI applications and autonomous AI workflows.
• Practical knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), tool calling, and AI agent orchestration.
• Experience working with vector databases and embedding models.

Frameworks

• Google Agent Development Kit (Google ADK)
• Microsoft Semantic Kernel
• LangGraph
• LangChain

Programming

• Strong proficiency in Python.
• Experience building REST APIs and backend services.

Cloud Platforms

• Google Cloud Platform (GCP)
• Microsoft Azure
• Experience deploying AI workloads in cloud environments.

Architecture & Engineering

• Solution architecture and system design.
• Microservices architecture.
• API integration.
• Scalable and distributed systems.
• Performance optimization and observability.
• CI/CD pipelines and DevOps practices.

Leadership

• Ability to lead architecture-level discussions.
• Experience providing technical direction and mentoring engineering teams.
• Strong stakeholder management and communication skills.
• Ability to work directly with customers and cross-functional teams.

Preferred Qualifications

• Experience with MLOps, model deployment, and monitoring.
• Knowledge of Kubernetes, Docker, and containerized deployments.
• Familiarity with AI security, governance, and responsible AI practices.
• Exposure to enterprise integrations and workflow automation.
• Experience with multiple LLM providers such as OpenAI, Google Gemini, Anthropic Claude, or Azure OpenAI.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 10–12 years of software engineering experience, with significant experience in AI/ML solution development.

Why Join Us?

• Work on cutting-edge Generative AI and Agentic AI initiatives.
• Design and build enterprise-scale AI solutions for global customers.
• Collaborate with highly skilled engineering teams and business leaders.
• Influence technical strategy and solution architecture while working with the latest AI technologies.