AI Architect
Oracle
Job Overview
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Job Description
About the Role
As an AI Architect focusing on Generative AI, LLMs, and AI Agents at Oracle, you will be instrumental in designing, building, and deploying cutting-edge AI/ML solutions. This role requires a leader who can not only drive technical innovation but also guide strategic direction and mentor cross-functional teams, ensuring Oracle remains at the forefront of AI and cloud solutions.
Qualifications & Experience
- 8+ years of total experience, with 4+ years in AI/ML Engineering roles.
- Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
- Proven track record in Generative AI, LLMs, NLP, and AI agent development.
- Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
- Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
- Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures.
- Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
- Familiar with MLOps, model governance, and CI/CD for ML workflows.
Responsibilities
- Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
- Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
- Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
- Mentor teams on solution design, best practices, and delivery excellence for AI projects.
- Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
- Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
- Lead solution estimation, technical governance, and program oversight.
- Contribute to GTM initiatives, including customer-facing demos and proposal development.
- Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
- Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.
Core Competencies & Technical Expertise
- Enterprise Architecture & AI Strategy
- Application Development (with focus on integrating AI into existing stacks)
- Multi-cloud & Distributed Architecture (OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
- AI/ML Security & Compliance
- DevOps & Agile AI Delivery
- Integration & Data Engineering Strategy
- Stakeholder Engagement – including Executive Leadership
- Program Oversight & Governance
- Solution Design, Proposals, and Estimates
- Industry Vertical: Proficiency in at least one Industry vertical will be an added advantage.
About Oracle
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.
Key skills/competency
- GenAI
- LLMs
- AI Agents
- Python
- OCI
- Machine Learning
- MLOps
- Prompt Engineering
- Vector Databases
- RAG Pipelines
How to Get Hired at Oracle
- Research Oracle's AI vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their strategic direction in AI and cloud solutions.
- Tailor your resume: Customize your resume to highlight extensive experience in Generative AI, LLMs, AI agents, and deep proficiency with Oracle Cloud Infrastructure (OCI).
- Showcase architectural leadership: Prepare to discuss past projects demonstrating your ability to lead end-to-end AI/ML solution design, production deployment, and technical governance.
- Master AI/ML fundamentals: Deepen your knowledge in prompt engineering, vector databases, RAG pipelines, and modern ML/NLP frameworks like HuggingFace and LangChain.
- Network within Oracle: Connect with current Oracle employees, especially those in AI/ML or cloud architecture roles, on platforms like LinkedIn for insights and potential referrals.
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