Software Architect AI Direct Hire
Minneapolis, MN - USA
Job Summary
Job Title: Software Architect AI - Direct Hire
Overview
We are seeking an experienced Software Architect AI to define and evolve the technical architecture for AI-driven systems across manufacturing research and development and business operations. This role is responsible for establishing architectural direction enabling scalable and reliable AI solutions and partnering cross-functionally to ensure AI capabilities deliver measurable operational and business impact.
This is a senior hands-on technical leadership role for someone excited to build foundational AI systems in a high-growth technology-driven manufacturing environment.
Key Responsibilities Define AI Architecture and Technical Strategy-
Design and own the end-to-end architecture for AI and machine learning systems including data ingestion model development deployment and monitoring.
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Establish architectural patterns and standards for scalable secure and maintainable AI platforms.
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Ensure AI systems integrate effectively with manufacturing systems (e.g. MES ERP) laboratory tools and enterprise applications.
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Partner with Manufacturing R&D Quality and Operations teams to identify high-value AI use cases such as process optimization quality prediction and anomaly detection.
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Translate business and technical requirements into robust AI system designs.
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Guide model lifecycle management including experimentation deployment retraining and performance monitoring.
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Serve as a technical authority and advisor on AI architecture best practices and technology trade-offs.
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Review technical designs mentor engineers and data scientists and elevate engineering standards across teams.
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Support build-versus-buy decisions and evaluate vendors tools and platforms.
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Collaborate closely with software data and infrastructure teams to ensure architectural alignment and successful execution.
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Partner with IT and Security teams to ensure AI systems meet reliability security and compliance requirements.
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Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
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10 years of experience in software engineering data platforms or AI/ML systems with demonstrated architectural ownership.
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Extensive experience building applications leveraging Large Language Models (LLMs) including OpenAI Anthropic open-weight models or comparable technologies.
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Hands-on expertise with:
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Prompt engineering and design
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Function/tool calling
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Structured outputs
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Retrieval-Augmented Generation (RAG) architectures
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Agent frameworks
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Proven experience integrating software with enterprise systems using REST APIs GraphQL message queues webhooks and ETL pipelines.
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Strong knowledge of cloud architecture with Azure experience preferred.
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Experience with containerization technologies such as Docker and orchestration platforms including Kubernetes and/or serverless environments.
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Demonstrated programming expertise in Python Rust and R.
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Strong understanding of modern AI/ML frameworks data pipelines cloud-native architectures and MLOps concepts.
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Experience integrating AI systems within operational or industrial environments is preferred.
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Ability to balance short-term delivery needs with long-term architectural strategy.
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Excellent communication and stakeholder management skills.
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Strong analytical and problem-solving abilities with the capability to thrive in ambiguous and fast-paced environments.
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Experience in manufacturing industrial or deep-tech environments.
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Advanced degree in Computer Science Engineering Data Science or a related field.
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Experience with edge AI time-series analytics or physics-informed machine learning.
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Passion for clean technology sustainable innovation or climate-positive initiatives.
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Equity participation through stock option grants.
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Comprehensive medical dental and vision insurance.
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Mental health benefits and support programs.
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401(k) plan with company matching.
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Paid vacation sick leave and company holidays.
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Opportunity to work in a collaborative high-performing and innovative environment.