Principal AI Solutions Architect | Agentic AI & Field Service Transformation

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal AI Solutions Architect | Agentic AI & Field Service Transformation based in the United States.

This is a unique opportunity to shape the future of enterprise AI by designing and deploying next‑generation Agentic AI solutions that drive measurable business transformation. In this strategic and highly visible role, you will work directly with global enterprises to translate complex operational challenges into intelligent, autonomous workflows powered by advanced AI technologies. Combining deep technical expertise with strong consulting and stakeholder management skills, you will influence AI strategy, architect multi‑agent systems, and guide customers from discovery through production deployment.

The position offers exposure to cutting‑edge innovations in generative AI, orchestration frameworks, and enterprise automation, while providing the opportunity to collaborate with world‑class teams and directly impact how organizations adopt and scale AI at an enterprise level.

• Lead customer discovery sessions, executive workshops, and strategic discussions to identify opportunities for AI‑driven transformation and value creation.
• Design and architect enterprise‑grade Agentic AI solutions that address complex service, operational, and workflow challenges.
• Develop and deploy multi‑agent systems capable of autonomous reasoning, orchestration, planning, and decision‑making.
• Translate business processes and operational requirements into scalable AI‑powered workflows that improve productivity, efficiency, and customer outcomes.
• Define integration architectures connecting AI solutions with enterprise applications, APIs, knowledge repositories, CRM systems, and operational platforms.
• Partner with stakeholders throughout the customer lifecycle to ensure successful implementation, adoption, and realization of business value.
• Collaborate closely with product, engineering, and AI teams to influence platform capabilities and drive innovation.
• Establish best practices for AI governance, observability, security, guardrails, and responsible AI deployment frameworks.
• Provide technical leadership and strategic guidance from solution design through production rollout and long‑term scaling initiatives.
• Act as a trusted advisor to executive leaders, architects, and technical teams, fostering alignment between business objectives and AI capabilities.

• Minimum of 10 years of experience in Solution Architecture, Enterprise Architecture, Platform Engineering, Technology Consulting, or related disciplines.
• At least 5 years of hands‑on experience designing and implementing AI, machine learning, generative AI, or Agentic AI solutions in production environments.
• Demonstrated success delivering innovative enterprise solutions, including 0‑to‑1 product development or large‑scale transformation initiatives.
• Extensive experience supporting enterprise customers through discovery, solution design, implementation, and adoption phases.
• Strong expertise in designing and deploying multi‑agent systems, intelligent workflows, and enterprise AI applications.
• Deep understanding of enterprise integrations, APIs, data architectures, workflow orchestration, and distributed systems.
• Hands‑on experience with Agentic AI frameworks such as Lang Graph, CrewAI, Auto Gen, Semantic Kernel, Agentforce, OpenAI Agents SDK, or similar technologies.
• Knowledge of Model Context Protocol (MCP), Agent‑to‑Agent (A2A) communication models, AI governance principles, and responsible AI practices.
• Experience with Retrieval‑Augmented Generation (RAG), vector databases, enterprise knowledge systems, and AI‑driven search architectures.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Experience with customer service technologies, CRM platforms, field service management solutions, or enterprise operational ecosystems is highly desirable.
• Excellent communication, presentation, and stakeholder management skills, with the ability to engage effectively with both executives and technical…