Gen AI Architect: Enterprise LLM & RAG Lead

Cognizant; Bridgewater (MA); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401k with match

PTO

Parental leave

Insurance

Tuition reimbursement

EAP & Wellness

Job summary

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

The ideal candidate brings deep expertise in LLMs, Prompt Engineering, Retrieval‑Augmented Generation, and hands‑on AWS AI/ML experience (Bedrock, SageMaker).

Qualifications

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

Responsibilities

• Architect and implement enterprise‑grade Gen AI solutions using LLMs (OpenAI, Anthropic, Cohere, Titan).
• Design, test, and optimize Prompt Engineering for summarization, Q&A, classification, content generation.
• Develop and deploy RAG pipelines integrating vector databases with LLMs.
• Leverage AWS Bedrock to build and scale foundation model‑driven apps.
• Implement cosine similarity–based semantic search and ranking for docs and embeddings.
• Collaborate with data scientists and product teams to embed Gen AI into platforms.
• Ensure scalability, performance, reliability, and security in cloud‑native environments.
• Stay current with emerging Gen AI tech, tools, architectures, and best practices.

Skills

Generative AI & LLMs

Prompt Engineering

RAG & vector databases

Python development

Cloud architecture

Leadership & collaboration

Communication

Education

Bachelor’s or Master’s in Computer Science, Data Science, AI/ML

Tools

AWS Bedrock

Amazon SageMaker

Lambda

S3

IAM

LangChain

Hugging Face Transformers

RESTful APIs

Pinecone/OpenSearch/FAISS

Job description

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

The ideal candidate brings deep expertise in LLMs, Prompt Engineering, Retrieval‑Augmented Generation, and hands‑on AWS AI/ML experience (Bedrock, SageMaker).