Gen AI Developer

About the role As a Gen AI Developer , you will make an impact by designing and delivering scalable, secure, and intelligent enterprise solutions powered by large language models (LLMs). You will be a valued member of the engineering team, collaborating with architects, data scientists, and business stakeholders to build next-generation AI-driven applications that enhance search, automation, and user experience. In this role, you will: Lead the design and implementation of scalable, secure cloud architectures leveraging LLMs from OpenAI and Google Build and deploy GenAI applications using LangChain, LangGraph, vector databases, and embeddings for enterprise search and automation Develop and maintain cloud-native solutions across Azure and/or Google Cloud to support AI-driven applications Integrate LLM models into enterprise systems to improve user experience, decision-making, and search capabilities Provide technical leadership and mentorship, promoting best practices in AI engineering, cloud architecture, and secure development Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3–4 days a week in a client or Cognizant office in Washington, DC . Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting and may change based on business and client requirements. What you need to have to be considered 6–8 years of experience in AI, machine learning, or related fields Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow or PyTorch Hands‑on experience with generative AI, NLP, and LLM‑based applications Experience building solutions using LangChain, LangGraph, vector databases, and embeddings Proven expertise in cloud platforms, particularly Azure (Functions, API Management, Service Bus, Cosmos DB, Data Factory, Cognitive Services, Databricks, Data Lake) and/or Google Cloud Experience designing scalable, secure enterprise architectures and integrating AI solutions into production environments Strong understanding of monitoring, logging, and performance optimization using tools such as Splunk or Application Insights Bachelor’s degree in Computer Science, Data Science, AI, or a related field These will help you stand out Experience building Agentic AI systems or multi‑agent workflows Knowledge of Retrieval‑Augmented Generation (RAG) architectures Familiarity with enterprise security, compliance, and data governance in AI solutions Experience working with distributed systems in public and private cloud environments Strong leadership, mentoring, and communication skills with the ability to translate complex technical concepts for non‑technical stakeholders We’re excited to meet people who share our passion for innovation and can make an impact in a variety of ways. Even if you don’t meet every requirement, we encourage you to apply and bring your unique perspective and skills to the role. *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 July 19, 2026. The annual salary for this position is between $ 115,000 - $ 130,000 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 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. #J-18808-Ljbffr Cognizant