7+ years in solutions architecture, technical consulting, automation design, or similar roles. Experience in construction, automotive manufacturing, oil & gas, industrial automation, or related sectors. Ability to translate business problems into structured technical solutions. Strong technical foundation in Cloud platforms (AWS, Azure, GCP) and hybrid architectures. Strong technical foundation in Enterprise integration patterns (APIs, microservices, event-driven systems). Strong technical foundation in Data engineering concepts (ETL pipelines, data lakes, real-time streaming). Hands-on experience with AI/ML workflows, including LLMs, VLMs, and Computer Vision systems. Hands-on experience with Model deployment and MLOps for production environments. Experience with Design and engineering software such as CAD tools, Bluebeam, and similar platforms. Ability to design and map complex architectures. Proficiency in at least one programming language (Python preferred; familiarity with Java or C# a plus). Comfort with containerization and orchestration (Docker, Kubernetes). Understanding of security and compliance for industrial environments. Strong communicator with presence across technical and executive audiences. Comfortable in early-stage, fast-moving environments. Ability to travel for onsite discovery, workshops, and customer meetings.