Description

You will define and drive AI and GenAI transformation initiatives across enterprise programs.

Responsibilities

• Define AI-enabled architectures aligned with business objectives as the enterprise or solution architect.
• Design and implement GenAI use cases, including LLM solutions, copilots, and intelligent analytics.
• Define AI transformation roadmaps, operating models, and governance frameworks.
• Oversee data modernization efforts to enable AI/GenAI adoption, including pipelines and MLOps.
• Provide technical leadership across architecture, security, compliance, and scalability.

Required Skills

• 15–20 years of experience in data delivery, data platforms, and enterprise architecture.
• Proven experience in Architect roles (Enterprise, Solution, or Data Architect).
• 3–4 years of hands-on experience delivering AI/GenAI transformation programs.
• Strong understanding of LLMs, GenAI architectures, prompt engineering, RAG, and vector databases.
• Expertise in cloud platforms (AWS, Azure, or GCP).
• Experience with MLOps and modern data ecosystems.
• Experience leading cross-program and enterprise-wide transformations.

Preferred Skills

• Strong stakeholder management and executive-level communication skills.

Key Skills

Education

Any Gradute