Senior Solutions Architect (Pre-Sales)

๐Ÿข Avathon ยท all Avathon jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 160,000 - 220,000 / annual
๐Ÿ“… Posted 2026-08-23 ยท via Himalayas
๐Ÿท Solutions-Architect,Pre-Sales-Engineer,Technical-Sales,AI-Sales,Enterprise-Architecture,Senior-Presales-Architect,Presales-Solution-Architect,Pre-Sales-Solutions-Architect,Senior-Technical-Solutions-Architect,Senior-Client-Solutions-Architect,Senior-Sales-Architect,Senior-Solution-Architect-Jobs,Senior-Cloud-Solutions-Architect,Presales-Solutions-Engineer,Senior-Systems-Solutions-Architect
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Who We Are & Why Join Us Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale. Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives. Learn more at: About the Role Avathon is looking for a Senior Solutions Architect to lead pre-sales efforts of generative and agentic AI architectures for our customers across industrial sectors including Energy, Mining, Manufacturing, and Aerospace & Defense. You will be the technical anchor across the sales lifecycle โ€” translating customer business objectives into concrete architectures built on Avathon 's Computational Knowledge Graph (CKG), Model Hub, Agent Foundry, and Visual AI (VAIA) capabilities, integrated with hyperscaler infrastructure (GCP, AWS, Oracle) and customers' existing OT/IT systems.This role sits at the intersection of frontier AI and industrial transformation โ€” partnering closely with account teams, forward-deployed engineering, and product to turn complex, multi-stakeholder requirements into production-grade AI solutions. Responsibilities - Develop strategic technical roadmaps and implementation plans for generative and agentic AI solutions that align with customers' business objectives and existing OT/IT architecture. - Design and implement AI architectures that orchestrate complex workflows across enterprise and industrial systems, leveraging Avathon 's Computational Knowledge Graph, Model Hub (industrial LLMs), Agent Foundry, and Visual AI (VAIA) โ€” integrated with hyperscaler services (GCP, AWS, Oracle) and industrial data sources (SCADA, OPC-UA/DA, MQTT, historians). - Credibly advise senior technical and executive stakeholders on architectural trade-offs, risks, and long-term AI strategy, translating complex technical concepts into business language that demonstrates clear value and informs decision-making. - Mentor forward-deployed engineers and account teams, contributing to knowledge sharing that advances AI adoption and implementation best practices across the field organization. - Lead thought leadership initiatives โ€” representing Avathon at industry events and run demonstrations (e.g., ARC Industry Forum, Offshore Technology Conference, Hannover Messe, MINExpo International, ADIPEC), publishing technical content (blogs, whitepapers, reference architectures), and sharing best practices with the broader industrial AI community. - Stay current with advancements in generative and agentic AI research and hyperscaler capabilities to improve system performance and recommend optimal technology stacks. - Define and implement evaluation frameworks for AI systems โ€” model performance benchmarking, output quality assessment, and operational monitoring (AIOps) โ€” ensuring deployed solutions meet enterprise reliability and governance standards. Qualifications - 3+ years of design, implementation, or consulting experience in enterprise SaaS applications. - 5+ years of specific domain experience (software development,

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