Cognizant
Senior Python Developer – GenAI & Cloud Deployment - Onsite
Cognizant, Washington, District of Columbia, us, 20022
Senior Python Developer – GenAI & Cloud Deployment - Onsite
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, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant’s IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.
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: - $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
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
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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