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Software Engineer II – AI & Engineering (Anthropic Claude / Agentic AI)
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AI Summary
Leads AI strategy, architecture, and governance for an organization, advising leadership on AI opportunities, technology choices, and adoption roadmaps. Focuses on defining enterprise AI frameworks, evaluating emerging technologies, and integrating AI into software development lifecycle. Requires 12+ years of AI/ML, Generative AI, or Enterprise Architecture experience with Microsoft AI ecosystem expertise.
Key Highlights
Define and drive AI strategy, architecture, and governance for enterprise-wide adoption.
Evaluate and recommend AI platforms, LLMs, AI agents, and emerging technologies.
Partner with leadership, engineering, and business teams to implement AI initiatives.
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Key Responsibilities
Define and drive AI strategy, vision, and roadmap aligned with business objectives.
Evaluate and recommend AI technologies, platforms, and governance frameworks.
Integrate AI capabilities into enterprise applications and SDLC processes.
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Technical Skills Required
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Nice to Have
Experience with AWS/GCP cloud AI services.
Leadership in multinational, geographically distributed teams.
Job Description
We are seeking an experienced Enterprise AI Architect to define and drive the organization’s AI strategy, architecture, governance, and adoption roadmap. The role will work closely with the Director and senior leadership to identify high-value AI opportunities, evaluate emerging technologies, and translate business objectives into practical, scalable, and secure AI solutions.
Key Responsibilities
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