Principal AI Architect at Oracle Risk Management Services

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 Dec, 25

Salary

0.0

Posted On

30 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Enterprise Architecture, Generative AI, AI Agents, Cloud Strategy, MLOps, AI Security, Responsible AI, Executive Engagement, Innovation, Data Science, Advanced Analytics, AI Model Governance, AI Thought Leadership, AI Vision Communication, Technical Delivery, Market-facing Leadership, AI Frameworks

Industry

IT Services and IT Consulting

Description

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.

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Responsibilities

You will define AI/ML architectures, lead marquee customer engagements, and evangelize cutting-edge solutions in Generative AI, Large Language Models, AI Agents, and Responsible AI frameworks. The role demands a unique balance of strategic vision, hands-on technical delivery, and market-facing thought leadership.