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Gen AI Senior Architect

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Systems Architect (Level: Senior Manager)
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CREQ239600 Requisition #

We are seeking an exceptional Senior Technology Leader with deep expertise in Generative AI, Agentic AI, and modern engineering architectures to drive innovation, shape complex solution strategies, and lead high-impact technology engagements with our clients. The ideal candidate blends strong architectural leadership, hands-on technical depth, and executive-level stakeholder engagement to unlock new value through AI-led transformation

Key Responsibilities

Technology and Architecture Leadership
Define end-to-end solution architectures across cloud, data, integration, mobile and web platforms, and AI ecosystems.
Lead the design and implementation of Generative AI, Agentic AI, and AI-augmented automation within client engagements.

Client Engagement and Advisory
Act as a senior technology advisor to CxO, CTO, CIO, and Chief Data or AI Officers.
Translate business goals into articulate, feasible, and scalable technology solutions.

Solutioning and Pre-Sales Support
Own solution architecture and technical strategy for proposals, RFP responses, and large transformation deals.
Develop solution narratives, architecture diagrams, delivery approaches, and effort models.

Required Skills and Experience

Technical Expertise
12 or more years of technology leadership experience with at least 5 years in architecture roles.
Demonstrated expertise in Generative AI, Agentic AI, large language models, vector databases, prompt engineering, retrieval-augmented generation architectures, and AI orchestration frameworks.

We are seeking an exceptional Senior Technology Leader with deep expertise in
Generative AI, Agentic AI, and modern engineering architectures to drive innovation,
shape complex solution strategies, and lead high-impact technology engagements
with our clients. The ideal candidate blends strong architectural leadership, hands-on
technical depth, and executive-level stakeholder engagement to unlock new value
through AI-led transformation.
This leader will act as a trusted advisor to senior client stakeholders, guide cross-
functional engineering teams, and define end-to-end AI-enabled solution
architectures that span platforms, cloud, data, integration, and digital experiences.

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