About the Role:
We are looking for a highly skilled AI Engineer to lead the design and implementation of next-generation Generative AI solutions using the AWS Bedrock platform. In this role, you will be responsible for architecting robust Retrieval-Augmented Generation (RAG) pipelines and building autonomous AI Agents that can plan, reason, and execute complex business workflows.
The ideal candidate has a deep understanding of Large Language Models (LLMs), experience with vector databases, and a proven track record of deploying production-grade AI applications within the AWS ecosystem.


In this role, you will:
• Architect RAG Systems: Design and optimize end-to-end RAG workflows using Amazon Bedrock Knowledge Bases, ensuring high retrieval accuracy and minimal hallucination.
• Develop AI Agents: Build and deploy intelligent agents using Agents for Amazon Bedrock to automate multi-step tasks, integrating them with enterprise APIs and Lambda functions.
• Model Selection & Tuning: Evaluate and select the best foundation models (e.g., Claude 3.5, Llama 3, Amazon Titan) for specific use cases based on performance, latency, and cost.
• Vector Database Management: Implement and manage vector stores such as Amazon OpenSearch Serverless, Pinecone, or pgvector to support semantic search capabilities.
• Prompt Engineering: Develop and iterate on complex system prompts and advanced prompting techniques (Chain-of-Thought, ReAct) to improve agent reasoning.
• Security & Guardrails: Implement Amazon Bedrock Guardrails to ensure responsible AI practices, including PII masking and content filtering.
• Performance Evaluation: Use frameworks like Ragas or TruLens to systematically evaluate RAG performance (faithfulness, relevancy) and agent success rates.


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 position requires 3-4 days a week in a client office in New York/New Jersey. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

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:
• Programming: Expert-level proficiency in Python and experience with asynchronous programming. Familiarity with Java or Node.js is a plus.
• AWS Ecosystem: Hands-on experience with AWS Bedrock, Lambda, S3, DynamoDB, IAM, and Step Functions.
• AI Frameworks: Deep knowledge of orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
• Data Engineering: Experience building ETL pipelines for unstructured data (PDFs, HTML, Markdown) to feed into knowledge bases.
• DevOps/MLOps: Proficiency in CI/CD for AI, including model versioning and monitoring using Amazon CloudWatch.


These will help you stand out:
• Experience with GraphRAG using Amazon Neptune.
• Background in Banking/Financial Services or Wealth Management domains.
• AWS Certified Machine Learning – Specialty or AWS Certified AI Practitioner.
• Contributions to open-source AI projects.

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:
The annual salary for this position is between $98,853 - $182,500 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.
• Paid Parental Leave and Fertility assistance .
• Employee Stock Purchase Plan.
• Employee assistance program.
• Learning and development certifications and programs.


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 Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

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.

Disclaimer:
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.