We are looking for an experienced Enterprise AI Architect to define and drive our AI strategy, architecture, governance, and enterprise adoption roadmap . The ideal candidate will work closely with senior leadership to identify high-value AI opportunities and translate business objectives into secure, scalable, and practical AI solutions. Job type is optional .

? Key Responsibilities:

- Define and drive the Enterprise AI Strategy, Vision & Roadmap .
- Advise senior leadership on AI opportunities, technology choices, investments, risks, and emerging trends .
- Identify and prioritize Generative AI, Agentic AI, AI Agents, RAG, and AI-enabled engineering use cases.
- Define enterprise AI architecture, reference architectures, standards, and design patterns .
- Evaluate and recommend LLMs, AI platforms, Copilots, AI Agents, RAG solutions, and emerging AI technologies .
- Establish AI governance, security, Responsible AI, compliance, and risk management frameworks.
- Drive AI adoption across the SDLC , including development, testing, documentation, DevOps, support, and modernization.
- Assess AI initiatives based on business value, ROI, feasibility, scalability, security, and enterprise readiness .
- Guide integration of AI capabilities with enterprise applications, data platforms, APIs, and cloud ecosystems .
- Define and track AI adoption, value realization, and maturity metrics .
- Collaborate with engineering, architecture, security, data, business teams, and external partners.

? Required Skills & Experience:

Microsoft AI Ecosystem:

- Strong experience with the Microsoft AI & technology ecosystem .
- Hands-on/architectural experience with GitHub, GitHub Copilot, Microsoft 365 Copilot, Copilot Studio, Azure AI / Azure AI Foundry, Azure AI Agents, Power Platform, and Power Automate .




- Ability to evaluate and recommend appropriate Microsoft AI technologies for enterprise requirements.

Enterprise Architecture:

- Strong understanding of enterprise application architecture, development, integration, deployment, and operations .
- Experience across multiple stages of the application lifecycle, from architecture and development to deployment and production support .
- Strong knowledge of APIs, cloud services, enterprise data platforms, integration platforms, and complex application landscapes .

Leadership & Global Delivery:

- Experience leading multinational and geographically distributed teams .
- Solid experience working with senior technology leaders, architects, engineering teams, business stakeholders, and external partners .
- Ability to operate across strategy, architecture, delivery, and governance .

? Experience:

- 12+ years of overall technology experience.
- Significant experience in AI/ML, Generative AI, Agentic AI, and/or Enterprise Architecture .
- Proven experience defining enterprise AI strategies and roadmaps and taking initiatives from concept to implementation.
- Strong understanding of LLMs, RAG, AI Agents, Agentic AI, AI orchestration, cloud AI services, and enterprise AI architecture .
- Experience with Azure, AWS, or GCP is preferred.

? Leadership Attributes:

- Strategic thinking and strong technology vision.
- Excellent communication, presentation, stakeholder management, and influencing skills .
- Ability to translate complex AI capabilities into clear business outcomes and actionable recommendations .
- Strong understanding of balancing innovation, business value, security, compliance, cost, and scalability .

? Share your resume at: [email protected] ? Contact: (phone hidden)

📌 Enterprise AI Architect (Noida)
🏢 Eice Technology
📍 Noida