GenAI & Agentic AI Architect

About The Role:

We are seeking a highly experienced GenAI & Agentic AI Architect with strong hands-on expertise to lead the design, development, and implementation of advanced AI solutions for our clients. This role requires a seasoned technical leader with over 8 years of architecture experience and deep knowledge of Azure and/or AWS cloud ecosystems, combined with strong capabilities in containerization, orchestration, observability, and modern AI frameworks.

You will play a critical role in shaping next-generation AI systems, leveraging Generative AI and Agentic AI paradigms to build scalable, intelligent, and action-oriented solutions.

Key Responsibilities

Architect and develop scalable, high-performance Generative AI solutions on Azure and/or AWS platforms

Design, build, and manage containerized AI applications using Docker and orchestrate deployments via Kubernetes

Establish and maintain observability frameworks for LLMs, including performance monitoring, system health, and usage analytics

Develop and implement machine learning models using Python or R, leveraging frameworks such as TensorFlow, PyTorch, or scikit-learn

Build and deploy AI/ML solutions using cloud-native services such as AWS SageMaker, Azure AI, or Google Vertex AI

Design and implement multi-agent systems and Retrieval-Augmented Generation (RAG) architectures

Define and enforce standards for prompt engineering, vector search, and model orchestration

Build and manage enterprise-grade MLOps pipelines covering model training, fine-tuning, evaluation, deployment, and monitoring

Collaborate with cross-functional teams to integrate AI capabilities into enterprise products and platforms

Lead system optimization, performance tuning, and troubleshooting of AI-driven applications

Establish best practices for secure, scalable, and maintainable AI architectures

Mentor and guide AI engineering teams on emerging technologies and implementation best practices

Stay current with advancements in Generative AI, Agentic AI, and cloud technologies

Required Skills & Qualifications

Minimum 8+ years of experience in a technical architecture role

Proven expertise in Azure and/or AWS cloud architectures

Strong hands-on experience with Docker and Kubernetes

Proficiency in Python or R with experience in TensorFlow, PyTorch, or scikit-learn

Deep knowledge of MLOps practices and model deployment on AWS SageMaker, Azure AI, or Google Vertex AI

Experience with multi-agent orchestration and RAG architectures

Solid understanding of prompt engineering, vector search, and LLM observability frameworks

Experience with Spring Boot and microservices architecture

Strong understanding of enterprise AI security, scalability, and governance principles

What We Offer

Competitive salary

NS business card

A technology-driven, innovative work environment

Open team culture and collaborative spirit

International and diverse working environment

Contact the Recruiter

Megha Nagpal

Megha.Nagpal3@cognizant.com

+31 6 2715 5643