> Markdown version of [/jobs/ext/2612225-genai-sr-developer-and-lead](https://www.wearedevelopers.com/jobs/ext/2612225-genai-sr-developer-and-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GenAI Sr. Developer and Lead

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Franklin Township, NJ, United States
- **Experience:** Expert
- **Salary:** $63,000.0 - $99,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software Applications, Cloud Computing Security, Cloud Engineering, Code Review, Databases, Data Architecture, DevOps, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Release Management, Software Engineering, Large Language Models, Prompt Engineering, Caching, Generative AI, Fastapi, Servicebus, AWS Fargate, Cloudwatch, Restful APIs, Serverless Computing, Docker, Jenkins, Microservices
- **Published:** August 5, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3343326850&tx=VT6257TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 10+ years of software development experience, including at least 3 years building AI/ML or Generative AI solutions in enterprise environments.
 * Strong Python development expertise with proven experience developing, deploying, and supporting production-grade LLM-powered applications.
 * Hands-on experience with AWS services including Amazon Bedrock, Lambda, ECS/Fargate, Step Functions, EventBridge, IAM, S3, and containerized solutions using Docker.
 * Deep experience building agentic AI solutions using LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and vector database technologies.
 * Strong understanding of prompt engineering, LLM evaluation methodologies, responsible AI practices, guardrails, and model performance optimization.
 * Experience developing RESTful APIs and microservices using FastAPI or similar frameworks.
 * Working knowledge of cloud security, IAM policies, data privacy, encryption practices, and handling sensitive data within AI-powered applications.
 * Excellent communication and stakeholder management skills with the ability to present technical solutions to architects, security teams, and executive leadership.

These will help you stand out

 * Experience implementing observability and tracing solutions for AI applications using CloudWatch, LangSmith, OpenTelemetry, or similar platforms.
 * Hands-on experience with PostgreSQL, DynamoDB, and data architectures supporting AI and machine learning workloads.
 * Knowledge of cost optimization strategies for LLM applications, including token management, caching, and model selection approaches.
 * Experience with DevOps and CI/CD tools such as GitHub, Jenkins, and automated release management processes.
 * Familiarity with enterprise-scale AI governance, compliance requirements, and security review processes.
 * Proven experience leading globally distributed teams and successfully delivering complex client-facing AI transformation initiatives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

## Description

As a Senior Generative AI Developer and Lead , you will make an impact by designing, developing, and delivering enterprise-grade Generative AI solutions that enable business transformation through intelligent automation and AI-powered experiences. You will be a valued member of the AI Engineering team and work collaboratively with solution architects, data engineers, security teams, platform engineers, stakeholders, and global delivery teams to build scalable and secure AI applications.

Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future

In this role, you will:

 * Design, develop, and deploy production-ready Generative AI applications on AWS using Amazon Bedrock, Python, serverless technologies, and modern cloud-native architectures.
 * Build AI agents and agentic workflows leveraging LangChain, LangGraph, Retrieval-Augmented Generation (RAG), and enterprise knowledge repositories to deliver intelligent business solutions.
 * Act as the primary technical liaison for clients, leading architecture discussions, solution demonstrations, security reviews, and technical workshops with customer stakeholders.
 * Provide technical leadership to distributed engineering teams through design reviews, code reviews, mentoring, and knowledge-sharing sessions to ensure high-quality delivery.
 * Implement robust LLM evaluation frameworks, responsible AI controls, guardrails, observability practices, and monitoring strategies to ensure reliable and safe AI solutions.
 * Collaborate across infrastructure, security, platform engineering, and data teams to remove dependencies, mitigate delivery risks, and drive successful project outcomes.
 * Track program milestones, communicate progress effectively to stakeholders, manage escalations, and ensure timely delivery of key initiatives.


## Related Videos

- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)
- [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)