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Highly specialized senior AI architect at a boutique firm reduces applicant density despite metro location.
Deep LLM, agent orchestration, RAG and enterprise integration needs restrict transferability across industries.
Explicit 10–15 years and ≥4 years AI architecture plus mandated LLM, agentic framework, and enterprise integration skills.
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Define and architect end-to-end enterprise AI and Agentic AI solutions including multi-agent orchestration and RAG pipelines integrated with platforms like SAP, Salesforce, and Microsoft 365.
Lead AI transformation initiatives from strategy and discovery to PoC delivery, scaled production deployment, and governance, ensuring scalability, security, and compliance.
Engage directly with C-suite stakeholders to align AI solutions with business transformation goals and serve as a trusted advisor and thought leader within customer engagements.
10–15 years of enterprise technology experience with at least 4 years in AI/GenAI architecture roles.
Proven experience in designing and deploying enterprise AI and Agentic AI solutions including multi-agent systems and RAG architectures.
Strong customer-facing consulting experience with exposure to AI transformation programs across industries like Manufacturing, BFSI, Retail, Healthcare, or Shared Services.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field (preferred, not explicitly mandatory).
Experienced in strategic AI architecture with a focus on integrating Agentic AI solutions into enterprise systems and workflows.
Comfortable leading end-to-end AI transformation journeys including pre-sales, PoC, and production deployments within complex, multi-cloud enterprise environments.
Skilled in working at the intersection of business and technology to translate CXO-level business challenges into scalable AI solutions and governance frameworks.