Artificial Intelligence

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Work with Autodesk’s largest customers to define innovative Building design, engineering, and management strategies and solutions to ensure the greatest possible value from their Autodesk investment
• Work with Autodesk account teams to define Customer Success Plans and customer engagements to deliver those strategies and solutions
• Work with the Autodesk Consulting Project Management team to ensure exceptional delivery against the Customer Success Plan
• Shape the Autodesk Consulting service offering and how it is delivered
• Interface with thought leaders within Autodesk, and beyond, to support and shape the Autodesk product offering
• Be a trusted business partner to customers and internal Autodesk teams
• Develop and deliver truly innovative business and technology solutions that have a strategic impact on Autodesk customers
• Help Autodesk customers drive transformational change by leveraging proven change management methodologies
• Lead facilitated workshops with Autodesk customers to identify solution opportunities and drive alignment on solution paths
• Lead or assist in the creation of high-quality design, engineering, and operational management deliverables for customers
• Define and track the value of solutions delivered to customers, and help document the impact of customer investment in Autodesk Consulting
• Lead and/or participate in the development around new and expanded offerings as part of a comprehensive consulting delivery portfolio
• Build the Autodesk Consulting brand by demonstrating thought leadership within the industry
• Lead project delivery efforts, ensuring team members perform to the highest level of quality and professionalism
• Mentor junior staff in successful customer engagement techniques including change management, strategic and critical thinking, workshop facilitation, and effective communication
• Advise on project estimation and participate in business development activities

Principal Business Consultant, Buildings – Data / AI Strategy and Readiness

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Lead the enterprise AI activation and transformation function, including building and guiding a team responsible for AI strategy, enablement, and execution.
• Establish a long-term vision that balances innovation with responsible adoption.
• Translate enterprise priorities into a clear, actionable AI strategy.
• Identify opportunities to re-engineer business processes using AI, from problem identification through implementation and value realization.
• Balance near-term productivity gains with longer-term innovation efforts across a diversified AI portfolio.
• Lead BECU’s internal AI innovation incubator that operates as an internal VC fund, identifying internal opportunities to drive change, funding them, and tracking them as part of the broader AI portfolio.
• Oversee AI governance, including policies, standards and decision frameworks that enable responsible and scalable adoption.
• Partner with leaders across business, technology, and operations to embed AI into real workflows.
• Establish and evolve enterprise AI governance, including policies, standards, and decision frameworks that ensure ethical, compliant, and scalable AI adoption.
• Build organizational capability through education, coaching, and enablement—helping employees develop confidence and fluency in AI tools.
• Influence senior leaders and manage cross-functional partnerships, ensuring alignment with regulatory expectations, risk tolerance, and member trust.

VP, AI Transformation

• Supports the Business Banking Sales organization by identifying, prioritizing, and implementing AI-driven solutions
• Enhances sales effectiveness, operational efficiency, and client experience
• Collaborates cross-functionally to develop, pilot, and scale AI & ML initiatives
• Monitors and measures the impact of implemented solutions
• Tracks adoption metrics and business outcomes, providing regular updates to leadership
• Prepares executive-level presentations and status updates

Business Banking Leader – AI, Process Optimization

• Designs and builds generative AI agents and AI platforms leveraging local and cloud-based large language models (LLMs)
• Develops AI-powered products and solutions for intelligent reasoning, automation, and human-AI interaction
• Collaborates with users and stakeholders to define requirements and deliver impactful AI solutions
• Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms

AI Algorithm Engineer

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Lead end-to-end delivery of AI Perception and Skills capabilities, from research conception through production deployment on robot hardware.
• Own the roadmap and success of both teams, setting clear goals and holding yourself and the team accountable for quality, reliability, and pace.
• Accelerate our data flywheel strategy — combining teleoperation, synthetic data, and fleet learning — to systematically expand robot performance and reliability at scale.
• Champion your team's talent, represent their needs to senior leadership, and foster an inclusive environment where engineers feel safe to experiment and learn from failure.
• Drive performance cycles, build individualized development plans, and lead hiring to grow both teams with high-caliber researchers and engineers.

Senior Manager, AI Perception and Skills

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• Develop and extend C++ and Python simulators that model system-level network and compute traffic for agentic LLM workloads in datacenter environments
• Characterize real-world LLM serving workloads and distill them into representative simulator inputs
• Run simulations at scale and apply statistical techniques to post-process and interpret results
• Identify performance bottlenecks and translate findings into concrete architectural recommendations
• Collaborate with hardware, software, and research teams to influence the design of future AI systems

Systems Performance Engineer – Agentic AI Workloads

• Validate performance of RAG-based LLM models using real field escalation scenarios
• Analyze and structure internal data sources including logs, knowledge base, and support documentation
• Develop and optimize retrieval pipelines including embeddings and indexing strategies
• Improve prompt engineering techniques to enhance response accuracy and relevance
• Benchmark RAG models against baseline LLM approaches
• Identify data gaps and recommend improvements for knowledge coverage
• Collaborate with software, applications, and product teams to align solutions with business needs
• Document findings and present results to stakeholders

AI/ML Internship

• Reporting to the Director of Communities and Ecosystem you are the primary commercial architect for SUSE’s most strategic AI relationships (NVIDIA, Intel, AMD)
• Lead the creation of the SUSE AI Factory narrative, developing technical GTM solutions that move at the speed of the AI market
• Identify and productize top use cases into validated "Blueprints" for OEM and GSI partners
• Architect the GTM strategy for our AI Developer Bundles to win mindshare at the workstation level
• Define and execute the "Better Together" narrative
• Author high-fidelity technical content
• Develop specialized training for global teams
• Lead SUSE’s technical presence at key AI shows using data-driven insights
• Assemble and lead a specialized team

AI Partner Marketing

• Architect internal productivity revolution and analyze workflows.
• Rapidly prototype and refine agentic solutions.
• Help build and deploy production grade AI agents.
• Integrate AI agents with enterprise resources.
• Define and track productivity & ROI.
• Stay at the forefront of AI developments in the media industry.

Director, Applied AI – Strategy

• Define model governance for AI/ML at Mercury.
• Continuously build and enhance the frameworks for validation, monitoring, and governance.
• Own validation, monitoring, and governance of Mercury’s AI/ML model portfolio.
• Partner closely with data scientists, engineers, compliance leads, and product teams.
• Shape Mercury’s approach to model risk management in the context of AI.
• Perform independent validation across predictive ML models and generative AI systems.
• Assess risks in LLM-powered applications and identify model limitations.
• Serve as a trusted advisor throughout the AI/ML lifecycle.
• Help shape responsible AI standards including explainability and bias assessment.
• Develop AI-enabled automation tools and modernize the MRM function.
• Champion MRM as a strategic enabler for AI/ML adoption across teams.

Artificial Intelligence jobs in Oregon

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