AI Solution Architect
Share
Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
You will define AI/ML architectures lead marquee customer engagements and evangelize cutting-edge solutions in Generative AI (GenAI) Large Language Models (LLMs) AI Agents and Responsible AI frameworks. The role demands a unique balance of strategic vision hands-on technical delivery and market-facing thought leadership.
Core Competencies
- Enterprise Architecture Defining AI-enabled enterprise architectures that scale across industries.
- Generative AI & Agents Proven expertise in LLMs multi-modal AI AI agent orchestration and prompt/flow engineering.
- Cloud & Multi-cloud Strategy Expert in Oracle Cloud Infrastructure (OCI); experience with AWS Azure GCP highly valued.
- AI/ML Engineering & MLOps Strong grounding in ML frameworks (LangChain HuggingFace PyTorch TensorFlow) CI/CD observability and governance.
- AI Security & Responsible AI Knowledge of data privacy fairness explainability model risk & compliance frameworks.
- Executive Engagement Ability to communicate AI vision and ROI at board/executive level while guiding technical teams on design/delivery.
- Innovation & GTM Strong orientation towards IP reuse accelerators and GTM initiatives (proposals bid defense executive workshops).
Qualifications & Experience
- 1620 years in technology with 8 years in AI/ML Data Science or Advanced Analytics.
- Demonstrated track record in enterprise-scale AI/ML adoptionfrom discovery to production rollout.
- Proven hands-on expertise in GenAI LLM fine-tuning multi-modal AI and intelligent agents.
- Deep experience with cloud-native deployments vector databases RAG architectures and hybrid data pipelines.
- Strong expertise in MLOps governance and lifecycle management of AI models.
- Experience in executive-facing roles (CxO briefings board-level AI strategy sessions).
- Bachelors/Masters in Computer Science Data Science AI or equivalent. PhD preferred but not mandatory.
Contributions to AI thought leadership: patents whitepapers conference talks or AI community initiatives.
Responsibilities
Key Responsibilities
- Enterprise AI Leadership
Drive enterprise-wide AI/ML architecture strategy ensuring alignment with business outcomes data strategy security and compliance. - Solution Design & Delivery
Architect prototype and deliver production-grade AI systems across GenAI LLMs multi-modal AI RAG pipelines and intelligent agents. - CxO Engagement
Act as a trusted advisor to CIOs/CTOs/CDOs on AI adoption strategy cloud-native transformation and scaling AI beyond PoCs into production. - Hands-on Technical Authority
Remain deeply hands-on in architecting and integrating AI into enterprise landscapes (Fusion EBS custom apps cloud-native stacks). - Governance & Standards
Establish AI architecture blueprints reusable patterns and governance frameworks (LLMOps model risk management AI security EU AI Act compliance). - Thought Leadership
Represent the practice in customer-facing demos conferences and whitepapers; influence Oracles AI GTM and innovation roadmap. - Cross-Studio Collaboration
Partner with Cloud Data & Analytics and Security Studios to deliver end-to-end enterprise transformation solutions. - Market & Innovation Focus
Track global AI trends vendor ecosystems (OpenAI Cohere Anthropic HuggingFace) and continuously infuse market-leading innovation into delivery.
Qualifications
Career Level - IC4
Required Experience:
Staff IC
Key Skills
- Business Process
- VMware
- Cloud
- HTML5
- Windows
- Project managements
- AWS
- Infrastructure
- Web Services
- JQuery
- Java
- Computer Engineering
- Solutions design
- Technical Solutions
- Analytics
About Company
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when eve ... View more
