Solution Architect, Industrial Technology Pre-Sales Remote 46

About SymphonyAI Industrial

SymphonyAI Industrial is a global leader in Industrial AI, enabling manufacturers and asset-intensive enterprises to transform fragmented IT, OT, and edge data into real-time, contextual intelligence that improves uptime, throughput, and operational efficiency.

Our platform is built on Vertical AI - domain-aware models, ontologies, and knowledge graphs that understand industrial operations from day one.

We are seeking a Solution Architect to join our customer applications team and play a defining role in shaping the future of our industrial AI platform.

This role is for a senior solution architect with a deep curiosity for how systems really work - someone who enjoys reverse-engineering complex platforms, challenging assumptions, and designing forward-looking architectures while staying hands-on and closely connected to engineering teams.

Responsibilities

• Collaborate with clients and our partners to understand their business needs, challenges, and objectives, proposing tailored AI solutions that deliver measurable value.
• Recommend engineered features and AI models for specific industrial and/or supply chain applications while identifying required sensors/signals and other datasets.
• Engage with product development, product management, software engineering, data science, and delivery teams to develop high-value AI products and solutions.
• Provide critical inputs to the conceptual and detailed design of dashboards and front-end applications for industrial and/or supply chain use cases.
• Support clients with domain expertise for data analysis, requirements translation, problem definition, root cause analysis, sales/engineering training and business case/ROI analysis.
• Ensure successful customer delivery, value tracking, and demonstration of ROI for implemented AI solutions.

Requirements

• Strong engineering domain expertise in one or more industrial verticals such as Power Generation, Oil & Gas, Metals, Mining, Chemicals, CPG, manufacturing or similar sectors.
• Deep understanding of industrial assets (e.g., turbines, compressors, pumps, heat exchangers, motors) and their failure modes, or industrial processes (e.g., refining, smelting, chemical reactors, food processing) from a process monitoring and optimization perspective.
• Hands-on expertise in supply chain domains, with the ability to contribute directly to the definition and build of data-driven supply chain solutions.
• Demonstrated experience deriving actionable insights from industrial data and architecting AI-driven solutions for real-world industrial challenges.
• Proven ability to engage with clients, understand their unique needs, and communicate technical solutions effectively to both technical and business audiences.
• Strong collaboration skills, with experience working in cross-functional, agile teams spanning product, engineering, and data science.
• Capability to develop technically rigorous training materials and deliver hands-on training for both engineering and sales audiences.
• Technical mentorship experience, fostering growth and best practices within engineering teams.
• Self-motivated, adaptable, and able to innovate quickly in a dynamic environment.

Qualifications

• Bachelor's or Master's degree in a quantitative or engineering discipline.
• 8+ years of experience in industrial data analysis and AI/ML-based solution development for industrial customers.
• Software development experience in object oriented language.
• Experience engaging and collaborating with US and European clients, demonstrating excellent communication and cultural adaptability.
• Experience working across multidisciplinary teams covering product development, data science, software engineering, and delivery.
• Excellent written and verbal communication skills.
• Willingness to travel as required to support client success.

Preferred Qualifications

• Experience with Python-based data analysis tools, including Scikit-learn, NumPy, Pandas, and generative AI-based tools.
• Skilled with data visualization libraries such as Matplotlib, Plotly, and Seaborn.