Principal AI Architect

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

• 16 20 years in technology, with 8+ years in AI/ML, Data Science, or Advanced Analytics.


• Demonstrated track record in enterprise-scale AI/ML adoption from 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).


• Bachelor s/Master s 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.

Career Level - IC4

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 Oracle s 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.