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Materion

Develops and manufactures advanced materials

AI Solutions Architect

AI Application EngineeringPosted on Nov 11
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Science, or Engineering (or a related field), or equivalent practical experience.
  • At least 5 years of experience in software engineering, data engineering, or solution architecture roles.
  • Hands-on experience with AI/ML or large language model solutions.
  • Strong coding and API development experience, along with experience using cloud platforms and modern data architecture.
  • Strong understanding of APIs, data pipelines, and system design, with the ability to design and implement systems independently.
  • Ability to define scalable AI and data architecture patterns, guide engineering teams, and conduct design reviews.
  • Understanding of responsible AI, data protection, security, and compliance requirements.

Responsibilities

  • Design, develop, operationalize, and deploy AI/ML and large language model-based solutions in production.
  • Build data pipelines and integrations to support AI use cases.
  • Implement enterprise AI architectures, including retrieval-augmented generation, vector databases, semantic layers, orchestration frameworks, and AI assistants.
  • Write code using Python, APIs, and cloud services to deliver end-to-end solutions.
  • Understand business issues, value, requirements, and success criteria.
  • Drive AI adoption through improvements to people, processes, systems, and data.
  • Define scalable architecture patterns and make design decisions across data ingestion, model integration, tuning, and application layers.
  • Establish reusable frameworks and standards, conduct design reviews, and guide engineering teams.
  • Build and optimize pipelines for manufacturing and operational data.
  • Support predictive maintenance, quality metrics, and process optimization use cases.
  • Partner with operational technology and data teams to ensure reliable, secure data flow.
  • Lead implementation of enterprise copilots, including Microsoft Copilot and custom GPT solutions.
  • Connect AI solutions securely to internal data sources.
  • Identify and deliver AI use cases across business functions.
  • Support and advise the Materion AI Committee.
  • Establish guardrails for responsible AI use, data protection, and model governance.
  • Ensure solutions align with security and compliance requirements.

Desired Qualifications

  • Experience in manufacturing or industrial environments, including information technology/operational technology integrations.
  • Familiarity with Microsoft Copilot, Azure OpenAI, or similar platforms.
  • Experience with data lakes, streaming, or large-scale telemetry data.
  • Experience with Azure, Python, modern AI/ML frameworks, retrieval-augmented generation, vector databases, semantic layers, orchestration frameworks, identity and access controls (including authentication and role-based access control), and National Institute of Standards and Technology or similar compliance frameworks.

About the Company

Materion

Develops and manufactures advanced materials

Materion develops and manufactures advanced materials for high-tech uses, offering tailored solutions and additive manufacturing capabilities across energy, telecommunications, aerospace, and industrial sectors. Engineers work with customers to design customized materials and produce them through methods such as additive manufacturing, with recent moves into semiconductor materials like tantalum after acquiring assets in South Korea. The company differentiates itself through decades of material science experience, close customer collaboration, and substantial investment in research and development to support high-growth markets. Its goal is to help customers sustain a competitive edge by delivering precise, high-quality material solutions and to grow its presence in fast-growing sectors such as semiconductors.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Mayfield Heights, OH
Founded
1931

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