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Salary
$130k – $155k per year
Location
In office (Washington)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 15, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

AI Developer - Generative AI & Machine Learning

About the role

As an AI Developer, you will make an impact by designing and delivering intelligent solutions that help organizations leverage Artificial Intelligence and Generative AI to solve complex business challenges. You will be a valued member of the AI & Analytics team and work collaboratively with business stakeholders, data engineers, architects, and application development teams to build scalable AI-powered applications that drive innovation, automation, and business value.

In this role, you will:

  • Design, develop, test, and deploy AI/ML and Generative AI solutions that address complex business requirements.
  • Build and optimize Large Language Model (LLM)-powered applications, including Retrieval-Augmented Generation (RAG), AI agents, and conversational AI platforms.
  • Develop document intelligence and information extraction solutions that process structured and unstructured data sources.
  • Integrate AI and machine learning capabilities with enterprise applications, APIs, databases, and cloud platforms.
  • Collaborate with business and technical stakeholders to translate business requirements into scalable AI solutions and production-ready applications.
  • Monitor, evaluate, and optimize AI model performance, scalability, reliability, and accuracy.
  • Contribute to AI solution architecture, best practices, governance standards, and responsible AI implementation.
  • Stay current with emerging AI technologies, frameworks, industry trends, and innovation opportunities.

Work model

We strive to provide flexibility wherever possible. Based on this role's business requirements, the work model and location requirements will be confirmed based on project and client needs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

  • 8-12 years of experience in software engineering, AI/ML engineering, application development, or related technology disciplines.
  • 3+ years of hands-on experience designing, developing, and deploying AI/ML solutions in production environments.
  • Strong experience with Generative AI technologies, Large Language Models (LLMs), and modern AI development frameworks.
  • Experience building RAG solutions, AI agents, conversational AI applications, and intelligent automation platforms.
  • Proficiency in Python and experience with AI/ML development libraries and frameworks.
  • Experience integrating AI services with APIs, databases, enterprise applications, and cloud-based platforms.
  • Knowledge of machine learning concepts, model evaluation, prompt engineering, and AI application lifecycle management.
  • Strong problem-solving, analytical, communication, and stakeholder management skills.
  • Experience working in Agile development environments.

These will help you stand out

  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
  • Knowledge of vector databases, embeddings, semantic search, and knowledge retrieval architectures.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
  • Experience building document intelligence, intelligent search, and enterprise knowledge management solutions.
  • Familiarity with MLOps, LLMOps, AI observability, and model monitoring practices.
  • Understanding of Responsible AI, AI governance, security, and compliance frameworks.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation:

Applications will be accepted until October 31, 2026.

The annual salary for this position is between $130,000- $155,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits 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.

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