AI Solutions Architect

Role overview Design and deliver secure, scalable AI solutions that help teams make better decisions and improve operational processes. The role combines hands-on engineering with architecture leadership, spanning AI and language model applications, enterprise copilots, data integration, and governance. You will partner with IT, data, security, business, and operational technology teams to take use cases from requirements through production.

Responsibilities - Build, deploy, and operate AI, machine learning, and large language model solutions, including the data pipelines and integrations they require. - Define architecture for data ingestion, model integration, applications, retrieval-augmented generation, vector search, semantic layers, and orchestration. - Write code and use APIs and cloud services to deliver end-to-end solutions; establish reusable patterns, standards, and design reviews. - Connect AI assistants and copilots securely to internal data, and identify practical use cases across business functions. - Integrate manufacturing and operational data to support applications such as predictive maintenance, quality analysis, and process improvement. - Advise governance groups and implement controls for responsible AI, data protection, security, and compliance.

Requirements - Bachelor’s degree in computer science, IT, data science, engineering, or a related field, or equivalent practical experience. - At least five years in software engineering, data engineering, or solution architecture. - Demonstrated hands-on delivery of AI/ML or large language model solutions. - Strong coding, API development, cloud platform, data pipeline, and system design skills. - Ability to design systems independently, establish scalable architecture patterns, and guide engineering teams through technical reviews. - Understanding of responsible AI, data protection, security, and compliance requirements.

Nice to have - Manufacturing or industrial experience, including IT/OT integration. - Familiarity with enterprise copilots, Azure OpenAI or similar platforms, data lakes, streaming, or large-scale telemetry. - Experience with Python, Azure, AI/ML frameworks, RAG, vector databases, semantic layers, orchestration, identity and access controls, or NIST-style frameworks.

Additional eligibility The position involves access to U.S. controlled technology. Applicants must meet applicable export-control eligibility requirements; some cases may require an export license.