AI Architect
AI Architect
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Job Description
An experienced consulting professional who has an understanding of solutions industry best practices multiple business processes or technology designs within a product/technology family. Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology company procedures and leading practices.
Qualifications & Experience
- 1215 years of total experience with 5 years in Data Science or 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.
- Strong communication and stakeholder management skillsable to bridge the gap between technical and executive teams.
Key Competencies:
- 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
Additional Skills (At least 2):
- Familiarity with designing & deploying scalable digital web based applications.
- Experience in multi-touch attribution market mix modelling fraud analytics customer journey analysis churn modelling customer segmentation hypothesis testing A/B testing and recommendation engines.
- Experience in designing implementing testing and shipping production-quality AI/ML software
- Experience with end-to-end pipelines using various Agentic frameworks
Preferred Qualifications
- Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science or a related technical field.
- Experience contributing to AI community initiatives publishing whitepapers or speaking at tech events.
- Familiarity with Oracles broader AI ecosystem and enterprise integration patterns is a plus.
Evaluation Criteria:
- Usecase presentations will be required to evaluate the candidates ability to translate business problems into actionable insights and solutions.
- Demonstrated experience in deploying machine learning models and managing model lifecycles will be assessed through case studies and real-world scenarios.
Diversity and Inclusion:An Oracle career can span industries roles Countries and cultures allowing you to flourish in new roles and innovate while blending work life in. Oracle has thrived through 40 years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.
To nurture the talent that makes this happen we are committed to an inclusive culture that celebrates and values diverse insights and perspectives a workforce that inspires thought leadership and innovation.
Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity consistency and affordability. The overall package includes certain core elements such as Medical Life Insurance access to Retirement Planning and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.
At Oracle we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds perspectives and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application and interview process and in potential roles. to perform crucial job functions.
Thats why were committed to creating a workforce where all individuals can do their best work. Its when everyones voice is heard and valued that were inspired to go beyond whats been done before.
Employer Description
As a world leader in cloud solutions Oracle uses tomorrows technology to tackle todays problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When everyones voice is heard were inspired to go beyond whats been done before. Its why were committed to expanding our inclusive workforce that promotes diverse insights and perspectives.
Weve partnered with industry-leaders in almost every sectorand continue to thrive after 40 years of change by operating with integrity.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical life insurance and retirement options.
Career Level - IC3
#LI-DNI
Responsibilities
Operates independently to provide quality work products to an engagement. Performs varied and complex duties and tasks that need independent judgment in order to implement Oracle products and technology to meet customer needs. Applies Oracle methodology company procedures and leading practices. Demonstrates expertise to deliver functional and technical solutions on moderately complex customer engagements. May act as the team lead on projects. Effectively consults with management of customer organizations. Participates in business development activities. Develops and configures detailed solutions for moderately complex projects.
Key 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.
#LI-DNI
Qualifications
Career Level - IC3
Employment Type
Full-Time
