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GenAI & Agentic AI Architect

00068779451

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
[email protected]
+31 6 2715 5643

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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When I first joined, I was quiet and hesitant to share my thoughts. The leadership programs and the mentoring I’ve received have helped me find my voice and grow as a leader.
Sujatha Gopalakrishnan Portfolio Delivery Lead
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The entrepreneurial mindset here is infectious. When you take initiative, you get support. What matters the most is showing up and trying.
Senthil Manoj Kumar Functional Architect
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My journey has run parallel to Cognizant’s. When I joined, we were a $1B company with 20,000 people. Today we’re at $20B with 350,000 people. And yet the same sense of belonging has grown stronger.
Vidhya Ganesh AVP of Delivery Excellence
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
Debashish Mishra SAP MM Developer

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