Principal AI Strategist & Solution Architect

🏢 AI Technology Partners, Inc. · all AI Technology Partners, Inc. jobs
📍 United States
📅 Posted 2026-08-03 · via Himalayas
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AI Technology Partners (AITP) is a leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises. Our offerings are designed to help organizations unlock the full value of AI while maintaining robust security and compliance across their infrastructures.

About the role

AI Technology Partners (AITP) is seeking a Principal AI Strategist to serve as a senior leader at the forefront of enterprise AI transformation. This highly visible role reports directly to the CEO and Co-Founder and plays a critical role in shaping client strategy, driving delivery excellence, and accelerating AI adoption across enterprise environments.

The ideal candidate brings a rare blend of executive presence, deep technical expertise in generative AI, hands-on solution architecture experience, and a proven ability to lead client engagements from pre-sales through delivery. This individual thrives in ambiguity, can translate complex business challenges into scalable AI solutions, and is energized by building, architecting, and delivering meaningful AI-driven outcomes—without the hype.

What you'll do

Act as a trusted advisor and senior engagement leader across client engagements, driving AI strategy, requirements analysis, and solution architecture. Partner closely with executive stakeholders to identify high-impact opportunities, design

enterprise-grade AI solutions, and guide successful implementation and adoption.
Key Responsibilities
Client Advisory & Executive Engagement

- Serve as a senior, client-facing leader and trusted advisor to C-level and senior stakeholders

- Translate business objectives into clear AI strategies, roadmaps, and solution approaches

- Lead executive workshops, discovery sessions, and requirements analysis to define high-value use cases

- Build deep, long-term client relationships grounded in trust, value, and measurable outcomes

Pre-Sales & Solution Architecture

- Lead end-to-end solutioning efforts across pre-sales and early delivery phases

- Drive structured requirements analysis, translating business needs into scalable technical architectures

- Design and architect tailored, enterprise-grade AI solutions aligned to client goals, industry context, and constraints

- Partner on proposals, statements of work, and solution positioning

- Lead demos, proofs of concept (PoCs), and technical deep dives to accelerate decision-making

- Identify expansion opportunities and help shape new offerings and go-to-market strategies

Solution Architecture & Technical Leadership

- Own the architecture vision across client engagements, ensuring alignment from concept through implementation

- Design enterprise-grade generative AI solutions across cloud platforms

- Build and prototype solutions leveraging tools such as OpenAI, Gemini, Claude, Cohere, Copilot, and emerging frameworks

- Lead architecture across LLM orchestration, RAG pipelines, vector databases, APIs, and AI gateways

- Ensure solutions meet enterprise standards for security, scalability, governance, and compliance

- Provide hands-on technical guidance and architectural oversight to engineering teams

Engagement Leadership & Delivery Oversight

- Act as the engagement lead, ensuring alignment across client stakeholders, delivery teams, and leadership

- Guide delivery teams through implementation while maintaining architectural integrity and business alignment

- Establish high-level governance, milestones, and success metrics

- Support successful operationalization, adoption, and value realization

- Ensure client outcomes are achieved without owning day-to-day delivery execution

Innovation & Thought Leadership

- Stay at the forefront of the rapidly evolving AI landscape and bring forward new capabilities

- Contribute to internal IP, frameworks, and repeatable solutions

- Mentor and elevate internal teams on AI strategy, architecture, and delivery best practices

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