Senior AI Strategist (Digital and Physical Systems)

Fresh ConsultingBellevue, WA
$140,000 - $180,000Hybrid

About The Position

Fresh Consulting is seeking an experienced Senior AI Strategist to guide clients through technological transformation. This role involves leveraging extensive experience in product development consulting and deep AI expertise to apply a researcher's and strategist’s rigor to how organizations approach Digital AI (generative AI, predictive analytics, enterprise automation & machine learning) and Physical AI (IoT, robotics, computer vision, and smart manufacturing). This is a research, consulting, and strategy role focused on investigating emerging technologies, market shifts, and competitive dynamics. The strategist will translate this research into points of view to support proposals and pitches, shaping how sales teams approach AI transformation for customers. The role requires the ability to synthesize fast-moving AI trends into clear narratives and present them to C-suite executives. Additionally, the strategist will contribute to consulting projects, workshops, product definitions, and value-added activities for clients. The position sits at the intersection of business strategy, data science, engineering, product, and physical AI, helping clients, including Fortune 500 companies, connect their product creation with current and future AI trends and technologies.

Requirements

  • 6+ years in product design consulting with a heavy component in software or hardware.
  • 2+ years of experience incorporating AI in product design processes, both internally and externally.
  • Bachelor’s degree in Industrial Design, Industrial Engineering, or a related quantitative field.
  • Proven Track Record: Experience implementing AI in product development, ideally with at least one major project involving hardware integration.
  • Software development experience is required.
  • Fluent in MCP, A2A, RestAPIs, ESBs & Orchestrators.
  • Experience with LLMs, Data Governance, BI tools, ML tools & Systems architecture.
  • Experience with Digital Twins, Wireless Communications, Electronic design and manufacturing.
  • Experience with ROI modeling, Agile methodology, Change Management, C-Suite communication.
  • Ability to translate product features to specific technical requirements, particularly around the design and implementation of agents and agentic architectures.
  • Ability to thrive in unstructured environments where the technology is evolving faster than the market.
  • Capable of setting up small proof of concept and experimenting firsthand with the newest technology.

Nice To Haves

  • An MBA or Master’s in an AI-related field is a strong plus.
  • Experience utilizing AI for manufacturing; i.e., AI assisted design and machining, among others.
  • A strong plus would have been involved in firmware development.

Responsibilities

  • Lead cross-functional client engagements to identify, prioritize, and roadmap high-impact AI opportunities across both digital and physical domains.
  • Translate complex AI technologies into clear, value-driven business cases for C-suite executives.
  • Assess client readiness across data infrastructure, physical assets, organizational culture, and change management.
  • Serve as a consultant and SME in AI for internal and external clients.
  • Design strategies for implementing Generative AI, Large Language Models (LLMs), enterprise data platforms, and predictive analytics.
  • Create strategies and structure proposals to implement enterprise agentic projects.
  • Optimize digital workflows, customer experience platforms, and core business software using intelligent automation.
  • Design strategies to implement AI in new product development workflows, industrial design and advanced interfaces.
  • Advise on the convergence of digital twins with physical assets to optimize supply chains and manufacturing lifecycles.
  • Partner with Data Scientists, Robotics Engineers, Cloud Architects, and UX Designers to ensure strategic roadmaps are technically viable and scalable.
  • Define governance, ethical AI frameworks, and risk mitigation strategies (especially regarding physical safety and data privacy in connected environments).

Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
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