AI Engineer – Generative AI, Oracle Applications & AI-Led SDLC Transformation
Primary Focus: Generative AI, Oracle Applications, and AI-led SDLC Transformation
Job Summary
We are looking for a technically strong AI Engineer to drive AI-led Software Development Life Cycle (SDLC) transformation, with a strong focus on Generative AI and Oracle Applications.
The ideal candidate will have hands-on experience building and implementing GenAI/LLM solutions and applying AI capabilities within Oracle enterprise application environments. The candidate will leverage AI-powered tools and frameworks to improve software design, development, testing, documentation, deployment, support, and operational efficiency.
The candidate should be technically very strong, have excellent communication skills, and be comfortable discussing AI/GenAI and Oracle application solutions directly with customers. Years of experience are secondary to strong hands-on expertise and customer-facing capabilities.
Key Responsibilities
- Architect AI-driven solutions across the SDLC, from requirements and design through development, testing, deployment, and production support.
- Design and develop Generative AI applications using LLMs.
- Identify and implement GenAI use cases within Oracle Applications / Oracle ERP environments.
- Integrate AI solutions with Oracle Fusion Cloud Applications, Oracle E-Business Suite (EBS), Oracle databases, APIs, and enterprise systems, depending on the application landscape.
- Develop AI-powered solutions for code generation, testing, documentation, incident analysis, application support, and automation.
- Design and implement RAG (Retrieval-Augmented Generation) architectures.
- Build AI solutions using vector databases, embeddings, AI agents, and enterprise knowledge sources.
- Apply GenAI to Oracle application development, customization, integration, testing, troubleshooting, and support processes.
- Utilize AI coding assistants and AI-enabled development tools to improve engineering productivity.
- Collaborate with Oracle architects, application teams, developers, DevOps teams, and product stakeholders to identify AI adoption opportunities.
- Design effective prompt engineering strategies and optimize LLM outputs.
- Implement AI governance, security, data privacy, and Responsible AI practices.
- Support CI/CD and DevOps integration for AI-enabled application development workflows.
- Participate in customer discussions, solution design sessions, architecture reviews, demos, and technical presentations.
Required Skills
- Strong hands-on experience with Generative AI, LLMs, and Prompt Engineering.
- Experience with Oracle Applications, preferably Oracle Fusion Cloud Applications and/or Oracle E-Business Suite (EBS).
- Good understanding of Oracle enterprise application architecture, integrations, APIs, extensions, and application development/support processes.
- Experience integrating AI/GenAI capabilities with Oracle applications or enterprise ERP platforms.
- Hands-on experience with OpenAI, Azure OpenAI, Claude, Gemini, or similar foundation models.
- Experience with LangChain, LangGraph, Semantic Kernel, or similar AI orchestration frameworks.
- Strong programming experience in Python.
- Hands-on experience with RAG, vector databases, embeddings, and AI agents / agentic AI.
- Understanding of modern SDLC, DevOps, CI/CD, and software engineering practices.
- Experience designing secure and scalable enterprise AI solutions.
- Strong problem-solving, architecture, communication, and customer-facing skills.
Preferred Oracle Skills
- Experience with Oracle Fusion Cloud ERP / HCM / SCM / Financials or other Oracle Cloud Applications.
- Experience with Oracle E-Business Suite (EBS).
- Understanding of Oracle Integration Cloud (OIC) and API-based integrations.
- Experience working with Oracle Database, SQL, PL/SQL, REST APIs, and web services.
- Exposure to Oracle Cloud Infrastructure (OCI) and OCI AI/GenAI services.
- Experience using AI to improve Oracle application development, testing, implementation, upgrade, migration, and production support activities.
- Understanding of enterprise business processes supported by Oracle ERP applications.
Preferred AI / Engineering Skills
- Experience with AI-assisted software development platforms.
- Knowledge of Azure, AWS, and/or OCI cloud services.
- Experience implementing AI-powered developer productivity solutions.
- Familiarity with GitHub Copilot, Cursor, Windsurf, or similar AI coding tools.
- Experience implementing agentic AI workflows and multi-agent solutions
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 language
Salary and Other Compensation:
Applications will be accepted until Month Day, Year.- 11/16/2026
The annual salary for this position is between $150,000 - $170,000 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
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
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.
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, provincial or local laws.
