Cognizant

Generative AI Architect

Cognizant$130K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, 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, 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
  • Strong development skills in Python, with experience in LangChain, Hugging Face, and RESTful APIs

Responsibilities

  • Architect and implement enterprise-grade Generative AI solutions using LLMs
  • Design, test, and optimize Prompt Engineering strategies for diverse use cases
  • Develop and deploy Retrieval-Augmented Generation (RAG) pipelines with vector databases
  • Leverage AWS Bedrock to build and scale foundation model-driven applications
  • Implement cosine similarity-based semantic search and ranking for documents
  • Collaborate with cross-functional teams to embed Gen AI into existing platforms
  • Ensure scalability, performance, reliability, and security of Gen AI applications

Benefits

  • Medical, Dental, and Vision insurance
  • 401(k) retirement plan with company match
  • Paid Time Off (vacation, sick leave, and company holidays)
  • Paid parental leave
  • Life, disability, and accident insurance
  • Tuition reimbursement and continuous learning programs
  • Employee Assistance Program (EAP) and wellness resources
Full Job Description
Location

Chicago, IL - Hybrid (3 days per week on-site)
Employment Type

Full-Time
Job Summary

Cognizant is seeking a highly skilled and visionary Gen AI Architect to lead the design and implementation of cutting-edge Generative AI solutions. This role will be instrumental in shaping enterprise AI strategy, building scalable and secure architectures, and driving innovation across business-critical applications.

The ideal candidate brings deep expertise in Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), and hands-on experience with the AWS AI/ML ecosystem, including Bedrock and SageMaker. This position follows a hybrid work model based out of our Chicago office.
Key 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 (Amazon OpenSearch, Pinecone, FAISS) 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
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a 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
Preferred Qualifications
  • Experience delivering Gen AI solutions in large enterprise or consulting environments
  • Background designing AI systems for regulated or security-sensitive domains
  • Experience leading architecture decisions and mentoring technical teams
Salary (U.S.)

Base Salary Range: $130,000 - $150,000 USD per year

This salary range represents a good-faith estimate based on role scope, experience, skills, geographic location, and internal equity. Actual compensation may vary.
Benefits - U.S. Employees

Cognizant offers a comprehensive and competitive benefits package, including:
  • Medical, Dental, and Vision insurance
  • 401(k) retirement plan with company match
  • Paid Time Off (vacation, sick leave, and company holidays)
  • Paid parental leave
  • Life, disability, and accident insurance
  • Tuition reimbursement and continuous learning programs
  • Employee Assistance Program (EAP) and wellness resources

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

Cognizant Careers

Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

Work You’ll Do

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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