Principal AI Strategist – Solution Architect

Role Overview

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Represent AITP as a thought leader in client engagements and industry conversations.

Requirements

• 10–15+ years of experience in enterprise technology, consulting, or solution architecture roles
• Expert-level usage of generative AI tools such as Claude, ChatGPT, Gemini, Copilot, and others.
• Proven experience designing and building AI solutions, including PoCs, MVPs, and production systems
• Strong background in enterprise architecture, including cloud (Azure, AWS, GCP), security, networking, and integration patterns
• Demonstrated success in client-facing roles with ownership of both pre-sales and delivery
• Experience translating complex business requirements into scalable technical solutions
• Experience with RAG architectures, vector databases, prompt engineering, and LLMOps/MLOps practices
• Exceptional communication skills with the ability to engage both technical and non-technical stakeholders.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform

Benefits

• A highly collaborative, low-bureaucracy environment
• Opportunity to shape the future of enterprise AI adoption
• Meaningful, high-impact client work
• A culture grounded in learning, growth, and innovation