JD:

Hands-on Architect/Sr engineer to design, build, and deploy LLM-powered decision-support and analytics applications using AWS Bedrock and OpenAI. The role requires strong expertise in GenAI, RAG, and agentic automation to support data-driven use cases in areas such as banking, customer insights, marketing, and dashboards.

**Core Requirements**

1. **Generative AI & LLM Development**

- Build and optimize LLM features (summaries, recommendations, insights).

- Expertise in prompt engineering, function/tool calling, structured outputs, and multi-turn conversation flows.

- Hands-on experience with OpenAI models (GPT-4o / GPT-5 / o-series) and AWS Bedrock models (Claude, Llama, Mistral, Titan).

- Experience with fine-tuning/customization via Bedrock Custom Models or OpenAI fine-tuning.

2. **Agentic AI & Workflow Automation**

- Build agent-based systems using LangGraph / CrewAI / AutoGen, or native OpenAI Assistants API and Bedrock Agents.

- Implement planning, reasoning, tool execution, and autonomous workflows.

- Develop specialized agents for search, analytics, enrichment, or operational tasks.

3. **RAG & Domain Contextualization**

- Implement RAG systems using vector databases like pgvector, Pinecone, DynamoDB Vector Search, OpenSearch.

- Strong understanding of chunking, embeddings, and retrieval optimization using OpenAI and Bedrock embedding models.

- Ground LLM outputs with domain context (finance, customers, marketing, CRM insights).

4. **Cloud Architecture & Platform Integration**

- Build scalable GenAI services on AWS using Lambda, API Gateway, S3, DynamoDB, Step Functions.

- Integrate both OpenAI APIs and AWS Bedrock APIs in backend microservices.

- Optimize inference cost, latency, caching, and error handling.

5. **Backend & Data Engineering**

- Strong Python engineering (FastAPI preferred).

- Build pipelines for LLM inputs/outputs, enrichment, evaluation, and monitoring.

- Familiarity with analytics datasets used in BFS, customer segmentation, or campaign intelligence.

6. **Evaluation, Governance & Productionization**

- Use evaluation frameworks like RAGAS, DeepEval, and custom scoring.

- Implement guardrails: PII detection, grounding, hallucination control, schema validation.

- CI/CD for GenAI apps, prompt/version management, and testing frameworks.

**Technical Skills **

- **LLMs / GenAI**

- OpenAI (GPT-4o, GPT-5, Assistants API, function calling, embeddings)

- AWS Bedrock (Claude, Llama, Mistral, Titan)

- **Agentic AI**

- LangChain, LangGraph, LlamaIndex

- CrewAI, AutoGen

- Bedrock Agents & OpenAI Assistants API

- **Cloud & Backend**

- Python, FastAPI

- AWS (Lambda, S3, DynamoDB, IAM, Step Functions, API Gateway)

- **Vector Search & Data**

- pgvector, Pinecone, OpenSearch, DynamoDB Vector Search

- **MLOps**

- Monitoring, evaluation, versioning, cost optimization

**Soft Skills**

- Ability to translate business needs (banking, CRM, marketing analytics) into GenAI workflows.

- Strong communication and rapid prototyping mindset.

*Please note this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until Dec 25, 2025.

The annual salary for this position is between $90,000 - $140,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

· Medical/Dental/Vision/Life Insurance

· Paid holidays plus Paid Time Off

· 401(k) plan and contributions

· Long-term/Short-term Disability

· Paid Parental Leave

· Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 300,000 associates around the world.
• We don’t just dream of a better way – we make it happen.
• We take care of our people, clients, company, communities and climate by doing what’s right.
• We foster an innovative environment where you can build the career path that’s right for you.

About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.

Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.