Enterprise AI Architect

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.
Strong 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: harshita.chaurasiya@eicetechnology.com
📞 Contact: 8009271142

Work arrangement
No