Pre Sales Solution Architect

Symphony Industrial AI, Inc.; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

SymphonyAI Industrial is seeking a Software Architect to join our customer applications team and shape the evolution of our industrial AI platform. This senior role focuses on scalable, cloud‑native architectures while staying hands‑on with engineering teams.

You will lead architecture discussions, reverse‑engineer existing systems, and drive modernization across data pipelines, AI/ML workflows, and user‑facing apps.

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.

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.

Skills

Microservice architecture

Cloud-native design

APIs and messaging/eventing

Full-stack depth

AI/ML familiarity

Architectural documentation

Leadership & collaboration

Enterprise SaaS / industrial platforms

Programming languages (Python, Java, C

Education

Bachelor’s or Master’s in CS/Engineering

Tools

AWS/Azure/GCP

Containers

CI/CD pipelines

Job description

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, 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 apply.

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 1,500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.