Principal AI Strategist & Solution Architect (Generative AI)

TL;DR

Principal AI Strategist & Solution Architect (Generative AI): Act as trusted advisor and senior leader shaping enterprise AI transformation, driving strategy, solution architecture, and delivery excellence with an accent on translating business challenges into scalable AI solutions. Focus on designing enterprise-grade generative AI architectures, leading pre-sales PoCs, and ensuring security, scalability, and compliance across cloud platforms.

Remote, US-based candidates preferred. The role may involve working across multiple time zones.

Company

Leader in delivering cutting-edge generative AI solutions and managed services, specializing in secure, customizable AI deployments for enterprises.

What you will do

• Serve as senior client-facing leader and trusted advisor to C-level stakeholders, translating business objectives into AI strategies and roadmaps.
• Lead executive workshops, requirements analysis, and solution architecture for high-impact AI use cases.
• Drive end-to-end pre-sales efforts including proposals, PoCs, demos, and technical deep dives.
• Own architecture vision for generative AI solutions using tools like OpenAI, Gemini, Claude, including LLM orchestration, RAG pipelines, and vector databases.
• Guide delivery teams on implementation, governance, and value realization without day-to-day execution.
• Contribute to innovation, internal IP, mentoring, and thought leadership in AI.

Requirements

• 10–15+ years in enterprise technology, consulting, or solution architecture.
• Expert-level usage of generative AI tools (Claude, ChatGPT, Gemini, Copilot).
• Proven experience designing and building AI solutions including PoCs, MVPs, production systems.
• Strong enterprise architecture background in cloud (Azure, AWS, GCP), security, networking, integration.
• Client-facing success in pre-sales and delivery, translating business needs to technical solutions.
• Experience with RAG, vector databases, prompt engineering, LLMOps/MLOps.
• Exceptional communication for technical and non-technical stakeholders.

Nice to have

• AI transformation in enterprise or regulated industries.
• Consulting or practice-building in startup/high-growth environments.
• Agentic systems, orchestration (LangChain, LangGraph, Semantic Kernel, AutoGen).
• Enterprise platforms like ServiceNow.
• Cloud/AI certifications (Azure, AWS, GCP).

Culture & Benefits

• Highly collaborative, low-bureaucracy environment.
• Opportunity to shape enterprise AI adoption.
• Meaningful, high-impact client work.
• Culture of learning, growth, and innovation.
• Competitive compensation with base salary, incentives, equity.