Software Architect - Industrial Technology (Remote)

SymphonyAI

Minneapolis, Minnesota(remote)

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Consumer Packaged Goods, Continuous Deployment/Delivery, Continuous Integration, Crime Prevention, Data Analysis, Data Management, Data Science, Design Flows, Distributed Computing, Documentation, Emerging Technology, Engineering, GCP (Good Clinical Practices), IT Service Management (ITSM), Java, Leadership, Manufacturing, Microservices, Microsoft C# (C Sharp), Microsoft Windows Azure, Ontology, Operational Strategy, Problem Solving Skills, Programming Languages, Prototyping, Python Programming/Scripting Language, Retail, Reverse Engineering, Software Architecture, Software Engineering, Software as a Service (SaaS), System Architecture, Systems Engineering, Team Player, Technical/Engineering Design, User Interface/Experience (UI/UX), Workflow Analysis
LOCATION
Minneapolis, Minnesota
POSTED
30+ days ago
Introduction:

Job Title:
Software Architect

 

Overview:
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:

Responsibilities:

  • 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.

Required Skills & Qualifications:

  • 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.

Diversity & Inclusion Statement:
We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to app

About Us:

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

 

About the Company

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SymphonyAI