Senior Consulting Manager

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.

• 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 Open Search 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 Tru Lens to systematically evaluate RAG performance (faithfulness, relevancy) and agent success rates.

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 that requires 3‑4 days a week in a client office in Chicago. Regardless of your working arrangement, we are here to support a healthy work‑life balance through 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.

• 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, Dynamo
  
  DB, IAM, and Step Functions.
• AI Frameworks:
  Deep knowledge of orchestration frameworks like Lang Chain, Lang Graph, or Llama Index.
• Data Engineering:
  Experience building ETL pipelines for unstructured data (PDFs, HTML, Markdown) to feed into knowledge bases.
• Dev Ops/MLOps:
  Proficiency in CI/CD for AI, including model versioning and monitoring using Amazon Cloud Watch.

• Experience with Graph
  
  RAG 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.

Base salary range $98,853 - $182,500 annually.

Eligible for Cognizant’s discretionary annual incentive program, subject to applicable plan terms.

• Medical, dental, vision, and life insurance.
• 401(k) plan with company contributions.
• Employee Stock Purchase Plan.
• Employee Assistance Program.
• 17 Paid holidays plus PTO.
• Paid parental leave and fertility assistance.
• Learning and development programs and certifications.