Gen AI Architect: LLMs, RAG & AWS Expert

Cognizant; Lansing (MI); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

Paid time off

Parental leave

Life insurance

Tuition reimbursement

Wellness resources

Job summary

Cognizant is seeking a highly skilled Gen AI Architect to lead design and implementation of enterprise‑grade Generative AI solutions. This role shapes enterprise AI strategy, builds scalable architectures, and drives innovation across critical applications.

The ideal candidate has deep expertise in LLMs, prompt engineering, RAG, and hands‑on AWS AI/ML experience (Bedrock/SageMaker). Hybrid work from Chicago office is required.

Qualifications

• Bachelor’s or Master’s degree in CS, Data Science, AI/ML, or related field.
• 8+ years of experience in AI/ML, with 3+ years focused on Generative AI and LLMs.
• Strong understanding of LLM architectures, fine‑tuning techniques, and inference optimization.
• Proven hands‑on experience with Prompt Engineering and prompt chaining methods.
• Demonstrated experience building RAG‑based applications using vector databases and embedding models.
• Proficiency with AWS AI/ML services including Bedrock, SageMaker, Lambda, S3, IAM, and related tools.
• Experience with cosine similarity, semantic search, and embedding models (e.g., Sentence Transformers).
• Strong development skills in Python, with experience using LangChain, Hugging Face Transformers, and RESTful APIs.
• Excellent communication, collaboration, and technical leadership skills.

Responsibilities

• Architect and implement enterprise‑grade Generative AI solutions using LLMs (e.g., OpenAI, Anthropic, Cohere, Amazon Titan)
• Design, test, and optimize Prompt Engineering strategies for use cases including summarization, Q&A, classification, and content generation
• Develop and deploy Retrieval‑Augmented Generation (RAG) pipelines integrating vector databases with LLMs
• Leverage AWS Bedrock to build, manage, and scale foundation model‑driven applications
• Implement cosine similarity‑based semantic search and ranking for documents and embeddings
• Collaborate with data scientists, ML engineers, and product teams to embed Gen AI into existing platforms and workflows
• Ensure scalability, performance, reliability, and security of Gen AI applications in cloud‑native environments
• Stay current with emerging Gen AI technologies, tools, architectures, and best practices

Skills

LLMs

Prompt Engineering

RAG pipelines

Python

LangChain

Transformers

RESTful APIs

AWS Bedrock

SageMaker

OpenSearch

Pinecone

FAISS

Embedding models

Education

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field

Tools

AWS Bedrock

SageMaker

Lambda

S3

IAM

OpenSearch

Pinecone

FAISS

LangChain

Hugging Face Transformers

RESTful APIs

Job description

Cognizant is seeking a highly skilled Gen AI Architect to lead design and implementation of enterprise‑grade Generative AI solutions. This role shapes enterprise AI strategy, builds scalable architectures, and drives innovation across critical applications.

The ideal candidate has deep expertise in LLMs, prompt engineering, RAG, and hands‑on AWS AI/ML experience (Bedrock/SageMaker). Hybrid work from Chicago office is required.