Generative AI Engineer

Cognizant; Arkansas; Hybrid; USD 68,000 - 114,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays

401(k) plan

Disability Insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is hiring a Senior Generative AI Engineer to design, develop, and deploy scalable generative AI and analytics solutions on cloud platforms. You will collaborate with program managers, engineering leads, developers, and client stakeholders to translate business needs into production-ready AI applications.

This hybrid role in Bentonville, AR emphasizes hands-on coding in Python/SQL, building retrieval-augmented generation pipelines, and deploying solutions on Azure or Google Cloud.

Qualifications

• 6+ years of software engineering, data, analytics, ML, or AI experience, with hands-on generative AI experience.
• Strong programming experience with Python and SQL, and building production-ready applications.
• Hands-on experience with generative AI frameworks such as LangChain, LlamaIndex, or LangGraph.
• Experience with large language model APIs such as OpenAI, Anthropic, or Google Gemini.
• Practical experience with prompt engineering, retrieval-augmented generation pipelines, agentic workflows, tool calling, and multi-agent systems.
• Experience deploying AI or analytics applications on Microsoft Azure or Google Cloud Platform.

Responsibilities

• Design and implement scalable generative AI, ML, and analytics solutions for deployment on Azure or Google Cloud Platform.
• Translate business requirements into technical solutions and lead technical conversations with program managers and stakeholders.
• Develop high-quality applications using established coding standards, automated tests, and code coverage requirements.
• Build and optimize retrieval-augmented generation workflows, prompt-based solutions, fine-tuned models, and agentic AI workflows.
• Support solutions through testing, production deployment, monitoring, troubleshooting, and performance improvements.
• Document architecture, designs, and service specifications while guiding developers.

Skills

Python

SQL

Software engineering

AI/ML

Tools

LangChain

LlamaIndex

LangGraph

OpenAI API

Anthropic API

Google Gemini

Job description

About the Role

As a Senior Generative AI Engineer, you will make an impact by designing, developing, and deploying scalable generative AI and advanced analytics solutions on cloud platforms. You will collaborate with technical program managers, engineering leads, developers, and client stakeholders to translate business requirements into reliable, production-ready AI applications.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position in Bentonville, AR. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

Important Disclaimers

• Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.


• Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

In this role, you will

• Design and implement scalable generative AI, machine learning, and analytics solutions for deployment on Microsoft Azure or Google Cloud Platform.


• Translate business requirements into effective technical solutions and lead technical conversations with program managers, engineering leads, and other stakeholders.


• Develop high-quality applications using established coding standards, automated unit testing, and project-defined code coverage requirements.


• Build and optimize retrieval-augmented generation pipelines, prompt-based solutions, fine-tuned models, and agentic AI workflows.


• Support solutions through testing, production deployment, monitoring, troubleshooting, and ongoing performance improvement.


• Document application architecture, technical designs, and service specifications while providing technical guidance to developers.

What you need to have to be considered

• 6 or more years of software engineering, data, analytics, machine learning, or artificial intelligence experience, including hands-on experience with generative AI solutions.


• Strong programming experience with Python and SQL, along with experience developing production-ready applications.


• Hands-on experience with generative AI frameworks such as LangChain, LlamaIndex, or LangGraph.


• Experience developing solutions using large language model APIs, such as OpenAI, Anthropic, or Google Gemini.


• Practical experience with prompt engineering, retrieval-augmented generation pipelines, agentic workflows, tool calling, and multi-agent systems.


• Experience deploying AI or analytics applications on Microsoft Azure or Google Cloud Platform.

These will help you stand out

• Experience with open-source models and ecosystems such as Llama 3, Mistral, and Hugging Face.


• Experience with vector databases such as Pinecone, Chroma, or Milvus.


• Knowledge of generative AI evaluation approaches and tools such as TruLens, Ragas, and LLM-as-a-judge.


• Experience fine-tuning, evaluating, monitoring, and improving large language model applications in production environments.


• Additional software development experience with Java.

Salary and other compensation

The annual salary for this position is between $68,000 – $114,000 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

• 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.

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.

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.