Job Summary & Responsibilities
AI Solution Architecture & Design
- Architect end‑to‑end AI solutions, defining patterns for data ingestion, model usage, orchestration, validation, security, and integration into enterprise systems.
AI Enablement & Cross Functional Support
- Enable teams across IT, Finance, HR, Legal, Operations, Supply Chain, Engineering, and other functions to adopt AI effectively and responsibly.
- Act as a hands-on technical advisor, helping teams shape AI use cases, solution designs, and implementation approaches.
- Provide guidance on when and how AI should be applied versus traditional automation or analytics.
- Evanglize AI and co-lead AI cross functional AI champion network.
- Develop reference examples, patterns, and lightweight guidance that help teams’ self-serve while remaining aligned to enterprise standards.
Applied AI Solution Delivery
- Design and implement AI enabled workflows, automation, and analytics solutions where direct development is required.
- Prototype solutions, validate value, and mature successful approaches into reusable or production ready implementations.
- Support integration of AI outputs into business processes and systems, including reporting, decision support, and operational workflows.
- Balance speed with maintainability by applying appropriate documentation, validation, and operational considerations.
AI Technology Evaluation & Vetting
- Evaluate emerging AI tools, platforms, and capabilities to determine enterprise fit and risk.
- Build ROI measurement frameworks for rollout of AI capability.
- Provide informed recommendations on adoption, pilots, or rejection of AI technologies in partnership with IT, Security, and Data & Analytics leadership.
- Help ensure a controlled and intentional expansion of Onto’s AI toolset over time.
Data & Analytics Alignment
- Partner with data owners and analytics teams to ensure AI solutions leverage trusted, governed data sources.
- Apply strong analytical thinking to measure impact, validate outputs, and communicate results.
- Support development of metrics and reporting to track AI adoption and value realization.
Responsible & Secure AI Usage
- Define and enforce AI architecture patterns that align data classification, access control, and least-privilege principles with enterprise security and governance standards.
- Ensure AI solutions align with enterprise security, privacy, compliance, and IP protection requirements.
- Promote responsible AI practices, including transparency, appropriate human-in-the-loop validation, and awareness of tool limitations.
- Help reinforce consistent, responsible AI usage practices through examples and guidance.
Qualifications
Required
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data & Analytics, or equivalent practical experience.
- 5–7 years of overall professional experience delivering technical solutions, automation, analytics, or software development in an enterprise environment.
- Experience enabling or supporting other teams in adopting new technologies or technical capabilities.
- Strong analytical and problem-solving skills, with the ability to navigate ambiguous problem spaces and large data sets
- Excellent communication skills, with the ability to work effectively across technical and non‑technical stakeholders.
- Demonstrated experience architecting enterprise-grade AI or advanced analytics solutions, from use-case definition through production deployment.
Technical Qualifications
- Hands‑on experience with Python, PowerShell, and/or other scripting languages for automation, integration, and data processing.
- Experience building or supporting AI enabled solutions using enterprise AI tools and platforms (not custom LLM development).
- Experience working in a Microsoft‑centric enterprise environment, including Microsoft AI, automation, and data platforms.
Preferred
- Experience in manufacturing, semiconductor, high‑tech, or capital equipment environments.
- Familiarity with additional AI tools and platforms beyond Microsoft (e.g., Claude or similar technologies), applied in a pragmatic, enterprise context.
- Experience contributing to technology evaluation, pilot programs, or platform standardization efforts.
- Experience working across both cloud and on-prem systems.
Compensation & Growth
• Base Salary Range:
$115,200.00 - $172,800.00, offered in good faith and based on experience, location, and qualifications.
