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AI Solutions Architect
Materion Corporation. Design, develop, operationalize, and deploy AI/ML and LLM-based solutions in production .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying AI/ML solutions, with a strong focus on scalable architecture patterns and data integration. Proven ability to lead engineering teams and ensure compliance with security and responsible AI standards.
Highest-signal resume keywords
AI/ML Solution DevelopmentPython ProgrammingCloud Platform ExperienceData Pipeline DesignResponsible AI Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData EngineeringSolution ArchitectureAPI DevelopmentSystem DesignData ArchitectureModel IntegrationPredictive MaintenanceQuality MetricsProcess Optimization
Soft Skills
LeadershipCollaborationCommunicationProblem-SolvingGuidance
Tools & Technologies
Microsoft CopilotAzure OpenAIVector DatabasesSemantic LayersOrchestration FrameworksData LakesStreaming DataTelemetry DataIdentity and Access ControlsRBAC
Certifications & Qualifications
Bachelor's Degree in Computer ScienceExport Compliance Eligibility
Industry Keywords
ManufacturingIndustrial EnvironmentsIT/OT IntegrationsNIST ComplianceData Protection
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Design, develop, operationalize, and deploy AI/ML and LLM-based solutions in production
- Build data pipelines and integrations to support AI use cases
- Implement enterprise AI architectures including RAG, vector databases, semantic layers, orchestration frameworks, and AI assistants
- Develop end-to-end solutions using Python, APIs, and cloud services
- Understand business issues, value, requirements, and success criteria
- Drive AI adoption through people, process, system, and data improvements
- 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 OT 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 alignment with security, compliance, and enterprise policy requirements
- Act as the subject matter expert for Materion's AI initiatives
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field, or equivalent practical experience
- Minimum 5 years of experience in software engineering, data engineering, or solution architecture roles
- Proven hands-on experience with AI/ML or large language model solutions
- Strong coding and API development experience
- Experience with cloud platforms and modern data architecture
- Strong understanding of APIs, data pipelines, and system design
- Ability to design and implement systems independently
- Ability to define scalable AI and data architecture patterns
- Ability to guide engineering teams and conduct design reviews
- Understanding of responsible AI, data protection, security, and compliance requirements
- Export compliance eligibility for access to U.S. controlled technology under ITAR and EAR; candidate must qualify under an allowed U.S. status, eligible nationality, letter of assurance, or obtain an export license
- Preferred: Experience in manufacturing or industrial environments, including IT/OT integrations
- Preferred: Familiarity with Microsoft Copilot, Azure OpenAI, or similar platforms
- Preferred: Experience with data lakes, streaming, or large-scale telemetry data
- Preferred: Experience with Azure, Python, modern AI/ML frameworks, RAG, vector databases, semantic layers, orchestration frameworks, identity and access controls including authentication and RBAC, and NIST or similar compliance frameworks
Benefits
Comp & perks- Equal employment opportunity employer
- Reasonable accommodation for applicants with disabilities
- Veteran Employee Resource group support
- Military-friendly company
- Veterans encouraged to apply
- Military experience and skills considered transferable to Materion careers