AI Transformation Leader

2 days ago

Noida, Uttar Pradesh, India beBeeEnterprise Full time ₹ 2,50,00,000 - ₹ 3,50,00,000
Key Job Responsibilities

As a Senior Enterprise AI Architect, you will lead the development of cutting-edge enterprise-wide AI strategies that drive business growth and efficiency.

Design and implement scalable AI systems across GenAI, LLMs, multi-modal AI, RAG pipelines, and intelligent agents.

Collaborate with CIOs/CTOs/CDOs to provide expert guidance on AI adoption strategy, cloud-native transformation, and scaling AI beyond PoCs into production.

Develop and maintain robust AI architecture blueprints, reusable patterns, and governance frameworks (LLMOps, model risk management, AI security, EU AI Act compliance).

Represent the organization in customer-facing demos, conferences, and whitepapers that influence industry trends and innovation roadmaps.

Partner with cross-functional teams to deliver end-to-end enterprise transformation solutions that meet customer needs.

Stay up-to-date with global AI trends, vendor ecosystems (OpenAI, Cohere, Anthropic, HuggingFace), and infuse market-leading innovation into delivery.

Drive thought leadership through contributions to AI research papers, patents, conference talks, or AI community initiatives.

Core Competencies
  • Enterprise Architecture: Develop strategic AI-enabled enterprise architectures that scale across industries.
  • Generative AI & Agents: Expertise in LLMs, multi-modal AI, AI agent orchestration, and prompt/flow engineering.
  • Cloud & Multi-cloud Strategy: Experience in Oracle Cloud Infrastructure (OCI) 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, guiding technical teams on design/delivery.
  • Innovation & GTM: Strong orientation towards IP reuse, accelerators, and GTM initiatives.
Qualifications & Experience
  • 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.
  • 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.
  • Education: Bachelor's/Master's in Computer Science, Data Science, AI, or equivalent. PhD preferred but not mandatory.

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