Note: The job is a remote job and is open to candidates in USA. Avathon is an Industrial AI autonomy platform serving heavy industries with AI-driven applications for asset performance, supply chain intelligence, visual AI, and global trade management. The Senior Solutions Architect will lead pre-sales efforts for generative and agentic AI architectures, translating customer objectives into production-grade solutions integrated with Avathon technologies, hyperscaler services, and existing industrial systems.
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) — 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 — 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 — model performance benchmarking, output quality assessment, and operational monitoring (AIOps) — ensuring deployed solutions meet enterprise reliability and governance standards
Skills
- 3+ years of design, implementation, or consulting experience in enterprise SaaS applications
- 5+ years of specific domain experience (software development, cloud computing, systems engineering, data/analytics, AI infrastructure, or security)
- At least 6 years' experience in customer facing roles
- A certificate or demonstrated experience in Data Science or Machine Learning
- Excellent written and verbal communication skills
- Excellent listening and documentation skills
- Demonstrated leadership in coordinating and driving cross-functional efforts
- Flexibility to travel 20% or as business needs require
- Experience working with industrial data (SCADA, OPC-UA, MQTT, historians) or in industrial enterprise environments (Energy, Mining, Manufacturing, Aerospace & Defense)
- Experience with computer vision, vision-based AI modeling, or multi-modal systems
Benefits
- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future.
- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm.
- Work on AI-driven projects that drive real change across industries and improve lives.
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