Pre Sales - Solution Architect
SymphonyAI, Minneapolis, MN, United States
Introduction
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
Software 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 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.
Job Description
What You Will Do
Own and evolve the platform-level architecture
across cloud, edge, data, and AI systems, with a focus on scalability, resilience, and long-term extensibility. Design
end-to-end system architectures , from industrial data ingestion and microservices to AI/ML workflows and user-facing applications. Act as a
technical thought partner
to engineering, ML, and product leaders - shaping decisions early rather than reviewing them late. Reverse engineer existing systems, legacy platforms, and third-party integrations
to uncover constraints, risks, and opportunities for modernization. Define and document
clear architectural patterns, reference designs, and system flows
that accelerate development and reduce ambiguity. Drive adoption of
modern, cloud-native and event-driven architectures , including microservices, APIs, orchestration, and data pipelines. Stay current on
emerging technologies
across AI, distributed systems, and developer platforms - prototyping and validating where appropriate. Lead by example through
hands-on technical engagement , design reviews, and selective code contributions. Identify systemic bottlenecks, architectural debt, and scaling risks - and proactively drive solutions. What You Bring
A strong
innovation mindset
- you enjoy ambiguity, experimentation, and designing systems that don't yet have clear precedents. Proven experience architecting
large-scale, distributed, data-intensive platforms , ideally with AI-enabled components. Deep understanding of
microservice architecture , cloud-native design, APIs, messaging/eventing, and distributed data systems. Strong full-stack technical depth , with the ability to reason about backend services, data platforms, and modern front-end architectures. Practical exposure to
AI/ML systems , such as model integration, inference pipelines, feature stores, or analytics workflows. Exceptional ability to
communicate architecture visually and clearly
through diagrams, flows, and written documentation. A collaborative leadership style-you elevate teams through partnership rather than command-and-control. Experience in industrial, enterprise SaaS, or complex platform environments is highly valued. Requirements / Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. 10+ years of software engineering experience, with
5+ years in senior or principal-level architecture roles . Strong proficiency in modern programming languages (e.g., Python, Java, C#, TypeScript). Extensive experience with cloud platforms (AWS, Azure, or GCP), containers, and CI/CD pipelines. Familiarity with AI/ML frameworks, data platforms, and analytics systems. Outstanding systems thinking, problem-solving, and communication skills. What Success Looks Like in 6-12 Months
You have developed a
deep, working understanding of the existing platform , including its strengths, limitations, and technical debt. You've identified and articulated a
clear architectural evolution strategy , aligned with product and business priorities. Engineering teams are using
your architectural patterns, diagrams, and reference designs
to move faster with greater consistency. You've influenced or led the design of
key platform capabilities
(e.g., data pipelines, AI integration, core services, or scalability improvements). Technical discussions are sharper and more forward-looking due to your involvement - fewer reactive fixes, more intentional design. You are recognized as a
go-to architectural authority and innovation partner
across engineering, ML, and product teams. The platform is measurably more
scalable, maintainable, and innovation-ready
than when you joined. About Us
Why Join SymphonyAI
Architect technology that delivers
real, measurable impact
across global industrial operations. Work at the intersection of
AI, software architecture, and complex real-world systems . Influence platform direction while remaining
hands-on and technically engaged . Join a culture that values
deep thinking, curiosity, and engineering craftsmanship . Help define how Industrial AI platforms are built, scaled, and evolved.
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
Software 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 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.
Job Description
What You Will Do
Own and evolve the platform-level architecture
across cloud, edge, data, and AI systems, with a focus on scalability, resilience, and long-term extensibility. Design
end-to-end system architectures , from industrial data ingestion and microservices to AI/ML workflows and user-facing applications. Act as a
technical thought partner
to engineering, ML, and product leaders - shaping decisions early rather than reviewing them late. Reverse engineer existing systems, legacy platforms, and third-party integrations
to uncover constraints, risks, and opportunities for modernization. Define and document
clear architectural patterns, reference designs, and system flows
that accelerate development and reduce ambiguity. Drive adoption of
modern, cloud-native and event-driven architectures , including microservices, APIs, orchestration, and data pipelines. Stay current on
emerging technologies
across AI, distributed systems, and developer platforms - prototyping and validating where appropriate. Lead by example through
hands-on technical engagement , design reviews, and selective code contributions. Identify systemic bottlenecks, architectural debt, and scaling risks - and proactively drive solutions. What You Bring
A strong
innovation mindset
- you enjoy ambiguity, experimentation, and designing systems that don't yet have clear precedents. Proven experience architecting
large-scale, distributed, data-intensive platforms , ideally with AI-enabled components. Deep understanding of
microservice architecture , cloud-native design, APIs, messaging/eventing, and distributed data systems. Strong full-stack technical depth , with the ability to reason about backend services, data platforms, and modern front-end architectures. Practical exposure to
AI/ML systems , such as model integration, inference pipelines, feature stores, or analytics workflows. Exceptional ability to
communicate architecture visually and clearly
through diagrams, flows, and written documentation. A collaborative leadership style-you elevate teams through partnership rather than command-and-control. Experience in industrial, enterprise SaaS, or complex platform environments is highly valued. Requirements / Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. 10+ years of software engineering experience, with
5+ years in senior or principal-level architecture roles . Strong proficiency in modern programming languages (e.g., Python, Java, C#, TypeScript). Extensive experience with cloud platforms (AWS, Azure, or GCP), containers, and CI/CD pipelines. Familiarity with AI/ML frameworks, data platforms, and analytics systems. Outstanding systems thinking, problem-solving, and communication skills. What Success Looks Like in 6-12 Months
You have developed a
deep, working understanding of the existing platform , including its strengths, limitations, and technical debt. You've identified and articulated a
clear architectural evolution strategy , aligned with product and business priorities. Engineering teams are using
your architectural patterns, diagrams, and reference designs
to move faster with greater consistency. You've influenced or led the design of
key platform capabilities
(e.g., data pipelines, AI integration, core services, or scalability improvements). Technical discussions are sharper and more forward-looking due to your involvement - fewer reactive fixes, more intentional design. You are recognized as a
go-to architectural authority and innovation partner
across engineering, ML, and product teams. The platform is measurably more
scalable, maintainable, and innovation-ready
than when you joined. About Us
Why Join SymphonyAI
Architect technology that delivers
real, measurable impact
across global industrial operations. Work at the intersection of
AI, software architecture, and complex real-world systems . Influence platform direction while remaining
hands-on and technically engaged . Join a culture that values
deep thinking, curiosity, and engineering craftsmanship . Help define how Industrial AI platforms are built, scaled, and evolved.
