Ai/Ml Engineer

Cognizant

Teaneck Township (NJ)

On-site

AUD 150,000 - 190,000

Full time

11 days ago

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Benefits offered by this job

Education & training opportunities
Competitive compensation
Wellness program

Job summary

Cognizant is seeking an experienced AI/ML Engineer with 5–8 years of hands-on experience in machine learning and AI engineering. The ideal candidate will specialize in the Microsoft Azure AI ecosystem, including Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure AI Search.

You will design and productionize AI/ML models, implement RAG pipelines, and optimize prompts, workflows, and system integrations for commerce-focused use cases on Azure, collaborating with architects

Qualifications

  • 5–8 years in AI/ML engineering.
  • 2–4 years building and deploying LLM-based or generative AI applications in production.

Responsibilities

  • Design, build, and fine-tune AI/ML models and LLM-based solutions using Azure OpenAI Service and Azure AI Foundry.
  • Implement Retrieval-Augmented Generation pipelines using Azure AI Search and knowledge bases from product catalogues and customer data.
  • Develop and productionize ML models using Azure Machine Learning, including training, evaluation, versioning, and deployment via MLOps pipelines.
  • Build and optimize prompt engineering strategies, agentic workflows, and function/tool-calling integrations for commerce-specific use cases.
  • Integrate AI services with commerce APIs and backend systems via Azure Functions and API Management.
  • Monitor and improve model performance, latency, and cost with caching and model routing.

Skills

AI/ML engineering
LLM/Generative AI
Azure AI/OpenAI
Solution architecture

Tools

Azure ML
Azure AI Foundry
Azure OpenAI Service
Databricks

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture:

Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

We are seeking an experienced AI/ML Engineer with 5–8 years of experience in machine learning and AI engineering. The ideal candidate will have strong expertise in the Microsoft Azure AI ecosystem, including Azure OpenAI Service, Azure AI Foundry, Azure Machine Learning, and Azure AI Search, and a proven track record of delivering scalable AI solutions that enhance customer experience, personalization, search relevance, and commerce outcomes.

Responsibilities :
  • Design, build, and fine-tune AI/ML models and LLM-based solutions (recommendation engines, conversational shopping assistants, search relevance, personalization) using Azure OpenAI Service and Azure AI Foundry.
  • Implement Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search, vector embeddings, and knowledge bases built from product catalogues, customer data, and merchandising content.
  • Develop and productionize ML models using Azure Machine Learning, including training, evaluation, versioning, and deployment via MLOps pipelines.
  • Build and optimize prompt engineering strategies, agentic workflows, and function/tool-calling integrations for commerce-specific use cases (order lookup, product Q&A, cart assistance).
  • Integrate AI services with commerce APIs and backend systems (inventory, pricing, promotions) via Azure Functions, API Management, and event-driven architectures.
  • Monitor and improve model performance, latency, and cost through techniques like caching, model routing, and prompt/context optimization.
  • Implement responsible AI practices, including bias testing, hallucination mitigation, and integration with Azure AI Content Safety for guardrails.
  • Collaborate with Solution and Security Architects to ensure AI components meet architectural, security, and compliance standards, and support pre-sales teams with technical POCs/demos.
Skills Required:
  • - 5–8 years in AI/ML engineering
  • -At least 2–4 years building and deploying LLM-based or generative AI applications in production, ideally within retail, e-commerce, or customer experience domains.
Preferred Certifications:
  • - Microsoft Certified: Azure AI Engineer Associate (AI-102)
  • - Microsoft Certified: Azure Data Scientist Associate (DP-100)
  • - Microsoft Certified: Azure Fundamentals / AI Fundamentals (AZ-900 / AI-900) — baseline, typically exceeded
  • - Databricks Certified Machine Learning Associate/Professional (if Databricks is part of the stack)
  • - Relevant Generative AI/LLM specialization credentials (e.g., DeepLearning.AI Generative AI certifications)
Benefits:

Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

  • You can pursue innovative career tracks and opportunities here
  • You can enhance your professional development through education and dedicated training

We’ll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

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 CareersNA2@cognizant.com for roles based in the Americas or CareersIndia2@cognizant.com for roles based in India.

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