Hybrid Gen AI Architect: LLMs, RAG & AWS Bedrock

Cognizant; Augusta (ME); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k) retirement plan with company‑m‑

Paid Time Off

Paid parental leave

Life, disability, and accident ins.

Tuition reimbursement and continuous学习

EAP and wellness resources

Job summary

Cognizant is seeking a highly skilled Gen AI Architect to lead design and implementation of enterprise‑scale Generative AI solutions. You will shape AI strategy, build scalable, secure architectures, and drive innovation across business‑critical applications.

The role requires deep expertise in LLMs, prompt engineering, RAG, and hands‑on AWS AI/ML work (Bedrock/SageMaker). This hybrid position is based in the United States.

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.
• 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.

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 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

Gen AI architecture

Prompt engineering

RAG pipelines

AWS Bedrock

SageMaker

Python

LangChain

Transformers

RESTful APIs

Education

Bachelor’s or Master’s in CS/DS/AI/ML

Tools

Bedrock

SageMaker

OpenSearch

Pinecone

FAISS

REST APIs

Job description

Cognizant is seeking a highly skilled Gen AI Architect to lead design and implementation of enterprise‑scale Generative AI solutions. You will shape AI strategy, build scalable, secure architectures, and drive innovation across business‑critical applications.

The role requires deep expertise in LLMs, prompt engineering, RAG, and hands‑on AWS AI/ML work (Bedrock/SageMaker). This hybrid position is based in the United States.