Cognizant
Senior Python Developer – GenAI & Cloud Deployment - Onsite
Cognizant, Washington, District of Columbia, us, 20022
Overview
Senior Python Developer – GenAI & Cloud Deployment - Onsite Join to apply for the
Senior Python Developer – GenAI & Cloud Deployment - Onsite
role at
Cognizant . Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our approach helps clients envision, build, and run more innovative and efficient businesses. Job Summary
We are seeking a highly skilled and hands-on Senior Python Developer with deep experience in Generative AI technologies, preferably with LangGraph or similar low-code orchestration tools. The ideal candidate will also have strong knowledge of DevOps practices and cloud deployment (AWS, Azure, or GCP). You will be responsible for designing, developing, and deploying scalable AI-driven applications and services. Key Responsibilities
Design and implement robust Python applications integrating GenAI models (LLMs, diffusion models, etc.). Build and orchestrate AI workflows using LangGraph or similar low-code frameworks. Collaborate with data scientists and ML engineers to integrate models into production systems. Develop APIs and microservices to expose AI capabilities. Implement CI/CD pipelines and automate deployment processes. Manage cloud infrastructure and ensure scalable, secure deployments. Monitor and optimize performance of AI services in production. Stay updated with the latest GenAI tools, frameworks, and best practices. Required Skills & Experience
6+ years of hands-on Python development experience. Strong understanding of Generative AI concepts (LLMs, embeddings, prompt engineering). Experience with LangGraph, LangChain, or similar low-code orchestration tools. Familiarity with popular GenAI frameworks (OpenAI, Hugging Face, Anthropic, etc.). Proficiency in RESTful API development and integration. Solid experience with DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins). Cloud deployment experience on AWS, Azure, or GCP. Knowledge of security best practices in cloud and AI deployments. Excellent problem-solving and communication skills. Preferred Qualifications
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS). Familiarity with MLOps practices and tools. Exposure to front-end frameworks (React, Streamlit) for building AI interfaces. Contributions to open-source GenAI projects or communities. Compensation & Benefits
Compensation: - $90,000 to $120,000 +/- and this position are also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 09/15/2025. 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 Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting and Business Consulting and Services Note: Referrals increase your chances of interviewing at Cognizant by 2x
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Senior Python Developer – GenAI & Cloud Deployment - Onsite Join to apply for the
Senior Python Developer – GenAI & Cloud Deployment - Onsite
role at
Cognizant . Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our approach helps clients envision, build, and run more innovative and efficient businesses. Job Summary
We are seeking a highly skilled and hands-on Senior Python Developer with deep experience in Generative AI technologies, preferably with LangGraph or similar low-code orchestration tools. The ideal candidate will also have strong knowledge of DevOps practices and cloud deployment (AWS, Azure, or GCP). You will be responsible for designing, developing, and deploying scalable AI-driven applications and services. Key Responsibilities
Design and implement robust Python applications integrating GenAI models (LLMs, diffusion models, etc.). Build and orchestrate AI workflows using LangGraph or similar low-code frameworks. Collaborate with data scientists and ML engineers to integrate models into production systems. Develop APIs and microservices to expose AI capabilities. Implement CI/CD pipelines and automate deployment processes. Manage cloud infrastructure and ensure scalable, secure deployments. Monitor and optimize performance of AI services in production. Stay updated with the latest GenAI tools, frameworks, and best practices. Required Skills & Experience
6+ years of hands-on Python development experience. Strong understanding of Generative AI concepts (LLMs, embeddings, prompt engineering). Experience with LangGraph, LangChain, or similar low-code orchestration tools. Familiarity with popular GenAI frameworks (OpenAI, Hugging Face, Anthropic, etc.). Proficiency in RESTful API development and integration. Solid experience with DevOps tools (Docker, Kubernetes, GitHub Actions, Jenkins). Cloud deployment experience on AWS, Azure, or GCP. Knowledge of security best practices in cloud and AI deployments. Excellent problem-solving and communication skills. Preferred Qualifications
Experience with vector databases (e.g., Pinecone, Weaviate, FAISS). Familiarity with MLOps practices and tools. Exposure to front-end frameworks (React, Streamlit) for building AI interfaces. Contributions to open-source GenAI projects or communities. Compensation & Benefits
Compensation: - $90,000 to $120,000 +/- and this position are also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Application will be accepted by 09/15/2025. 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 Employment details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: IT Services and IT Consulting and Business Consulting and Services Note: Referrals increase your chances of interviewing at Cognizant by 2x
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