Generative AI Architect — LLMs, RAG, AWS Bedrock

Cognizant; Juneau (AK); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, and Vision insurance

401(k) retirement plan with company or

Paid Time Off (vacation, sick leave, &

Paid parental leave

Life, disability, and accident insur

Tuition reimbursement and continuous学习

Employee Assistance Program (EAP) and

Job summary

Cognizant is seeking a highly skilled Gen AI Architect to lead the design and implementation of cutting‑edge Generative AI solutions, shaping enterprise AI strategy and secure cloud‑native architectures.

The ideal candidate brings deep expertise in LLMs, Prompt Engineering, Retrieval‑Augmented Generation (RAG), and hands‑on AWS AI/ML experience, including Bedrock and SageMaker. This role follows a hybrid work model out of the Chicago office.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field
• 8+ years of AI/ML experience, 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
• Strong development skills in Python, with LangChain, Hugging Face Transformers, and RESTful APIs

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

Python

Leadership

Communication

Education

Bachelor’s or Master’s degree in CS/DS/AI/ML

Tools

LangChain

Hugging Face Transformers

RESTful APIs

AWS Bedrock

SageMaker

Lambda

S3

IAM

Job description

Cognizant is seeking a highly skilled Gen AI Architect to lead the design and implementation of cutting‑edge Generative AI solutions, shaping enterprise AI strategy and secure cloud‑native architectures.

The ideal candidate brings deep expertise in LLMs, Prompt Engineering, Retrieval‑Augmented Generation (RAG), and hands‑on AWS AI/ML experience, including Bedrock and SageMaker. This role follows a hybrid work model out of the Chicago office.