AI Architect

2 days ago

Bengaluru, Karnataka, India Oracle Financial Services Software Ltd Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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