Technical Architect - Agentic AI

Experience: 14+ Yrs

Location: Hyderabad / Bengaluru

Job Description:

We are looking for a seasoned GenAI Technical Architect with expertise in architecting and implementing enterprise-scale generative AI and agentic AI solutions using Python, Azure AI services, and modern AI frameworks. The role focuses on defining scalable and secure AI architectures across LLMs, prompt engineering, fine-tuning, GenAI SDKs, and multi-agent orchestration, while driving cloud-native solution design using distributed systems, microservices, Docker, Kubernetes, and Azure platforms such as AML, Cognitive Services, Databricks, and AKS.

Primark Skills (Must have hands on experience):

• Generative AI Expertise: 2-3 years of experience in designing and implementing generative AI solutions, including knowledge of various generative and autoregressive models. Ability to apply generative AI techniques to diverse use cases such as image generation, text generation, and creative content synthesis.

• 2 years of experience in prompt engineering, fine tuning, agentic framework, GenAI SDK's

• 1-2 years of experience in Agentic AI frameworks like Autogen, Lanngraph, MS Agent SDK, A2A, MCP, A2P, memory concepts, multi agent orchestration

• 5+ years of experience in Python

• Azure Proficiency: 3-5 years of experience with Azure cloud services relevant to AI, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Kubernetes Service (AKS). 2+ years of experience in Azure's capabilities to architect end-to-end AI solutions and optimize performance.

• Architecture Design: 3-5 years of skills with the ability to design scalable, reliable, and cost-effective architectures for AI solutions. Proficiency in designing distributed systems, microservices architectures, and containerized solutions using technologies such as Docker and Kubernetes.

Why Join Us :

This is an opportunity to own and build next-generation AI systems from the ground up, combining development and architecture in a meaningful way. You'll play a key role in shaping scalable AI solutions while working in a collaborative, innovation-driven environment.