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Principal Architect - AI and Gen AI Solutions

Oracle

Oracle

Software Engineering, IT, Data Science
Bengaluru, Karnataka, India
Posted on Feb 27, 2026

At CSS, we are shaping the future of enterprise cloud with a diverse team of innovators committed to excellence. Blending the agility of a start-up with the global reach of the world’s leading enterprise software company, we empower our teams to create breakthrough solutions and deliver value to our customers.
We are seeking an experienced and passionate Senior Principal AI/ML engineer with a strong background in backend development, machine learning, and AI/GenAI, to play a leading role in the design, development, and deployment of next-generation GenAI Platform. In this key role, you will collaborate with cross-functional teams, architect and implement robust backend systems, and help bring innovative GenAI capabilities to Oracle Cloud customers. Your expertise will ensure the security, scalability, and performance of our systems, driving forward OCI’s mission to deliver intelligent cloud experiences.

This role is central to the development and deployment of intelligent AI systems that would enhance service value proposition, operational efficiency, and strategic decision-making. The individual will design, develop, train, and implement machine learning and deep learning models capable of processing large datasets and generating actionable insights. Collaboration with data scientists, software developers, and business leaders is essential to integrate these models into existing systems. The position requires a deep understanding of machine learning/NLP, deep learning, data processing, and generative AI to ensure that solutions are robust, scalable, and impactful.
Work on critical AI infrastructure that powers Oracle’s GenAI and ML initiatives. Contribute to high-impact projects with visibility across Oracle Cloud. Collaborate with top engineers and researchers in a fast-paced, innovation-driven environment. Grow your career in a supportive, mission-driven team building the future of enterprise AI and exceptional proficiency in programming languages (Python, Java) and expertise in data processing tools (Pandas, NumPy). Possesses in-depth knowledge of cutting-edge AI/ML technologies, including Generative AI, RAG architecture, and related frameworks (Langchain, Llamaindex).


Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.


Principal Systems Analyst - OCI/AI Architect

Career Level - IC4


Responsibilities
Design / Create and optimize models capable of generating high-quality content, such as text, images, audio, or video, based on specified parameters and datasets.
Design, build, and optimize machine learning models, deep learning architectures to solve specific business challenges.
Collect, clean, and preprocess large datasets to ensure high-quality data is used for training models.
Train AI models on large datasets, tune hyperparameters, and evaluate model performance using appropriate metrics.
Conduct experiments to test model accuracy, efficiency, and scalability.
Deploy AI models into production environments, ensuring they integrate smoothly with existing software systems. Monitor, update & refine the performance of deployed models.
Stay up to date with the latest advancements in AI, machine learning, and related technologies.
Communicate technical concepts, model results, and AI capabilities to non-technical stakeholders.
Ensure AI models and solutions adhere to ethical guidelines.
Enable and support fellow team members.



Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
Excellent design and programming skills with expertise in Java, Python
Experience designing and building distributed systems
Solid understanding of designing systems for performance, efficiency, and availability with a strong customer focus
Strong work ethic, flexibility, and proven attention to quality and detail
Strong collaboration and communication skills
Excellent troubleshooting and performance tuning skills in a Cloud environment
Cloud development experience on one of the major platforms (Oracle, AWS, Azure, GCP)
AI/ML experience:
Demonstrated experience building and operating Generative AI, Agentic, and RAG systems
Strong experience supporting ML Ops loop
Comfortable working with science teams
Experience with Code Generation Assisting technologies
Big Data skills with open source frameworks like Apache Spark

Preferred Qualifications

Experience building AI scalable services/applications for scale
Background in cloud operations, DevOps, or infrastructure monitoring domains
Familiarity with Oracle Cloud Infrastructure or other major cloud platforms
Exposure to AI/ML infrastructure, MCP, or LLM serving technologies
Interest in distributed systems, observability, and scalability challenges
Able to operate and lead with ambiguity
Willingness to learn and contribute to high-impact projects