Senior AI Strategist; Digital and Physical Systems
Listed on 2026-07-24
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
Fresh Consulting is a design-led, software development and hardware engineering company, offering end-to-end digital services to help companies innovate. We bring together amazing UX designers, sophisticated developers, digital strategists, and top‑notch engineers to help companies create fresh experiences that connect humans, systems, and machines.
At Fresh Consulting, we strive to hire a workforce representative of the communities we serve, understanding that a diverse workforce strengthens our organization. We value diversity and support a positive and welcoming environment where all of our employees can thrive. See more at
Why join Fresh?We are tech industry veterans in software, hardware, strategy, and design who are pooling our skills to build the future we want to live in. We are solving real‑world problems for people by leveraging robotics, machine learning, and computer vision, among other technologies, with an eye toward the end‑to‑end user experience. Our teams are agile, diverse, and driven. We believe that the best way to solve complicated, dynamic problems is collaboratively and respectfully.
Most of all, we were built from the start as a modern, high‑performance services partner that puts people — from our employees to our partners to our clients to their customers, first.
Fresh Consulting is seeking an experienced Senior AI Strategist. In this role, you will guide our clients through the next frontier of technological transformation. By leveraging extensive experience in product development consulting and deep AI expertise, this role will bring a researcher’s and strategist’s rigor to how organizations should think about 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. You’ll spend your time investigating emerging technologies, market shifts, and competitive dynamics, then translating that research into points of view to support proposals and pitches that shape how sales teams approach AI transformation for our customers. You will have to be equally comfortable synthesizing a landscape of fast‑moving AI trends into a clear narrative and pressure‑testing that thinking in front of a boardroom.
Additionally, you will put your knowledge to work during delivery in consulting projects, workshops, product definitions, and value‑added activities for our clients.
You will sit at the intersection of business strategy, data science, engineering, product and physical AI, helping Fresh’s clients, including Fortune 500, connect their product creation with the current and future AI trends and technologies.
Key Responsibilities Strategic Advisory & Vision- 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.
- Be 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 life cycles.
- 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).
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