AI Engineer

• Lead Acumatica’s next phase of transformation in the AI era
• Lead enterprise-wide transformation initiatives across AI-enabled product innovation and engineering productivity
• Partner with platform, AI/ML, product, and application engineering leaders to accelerate AI adoption
• Shape how Acumatica builds and delivers software in the AI era
• Drive adoption of AI across products and workflows
• Define and scale AI-powered product capabilities
• Guide application teams in using AI building blocks, orchestration infrastructure, and platform services
• Influence application architecture, design patterns, and engineering practices for scalable AI adoption
• Identify and deliver high-impact customer AI scenarios
• Transform the engineering lifecycle through AI-assisted development practices
• Identify opportunities to improve productivity, engineering quality, and delivery efficiency using AI
• Drive modern engineering practices across business analysis, development, and QA teams
• Evolve how software is designed, built, tested, and maintained at scale
• Define and influence long-term AI and engineering transformation strategy
• Evaluate emerging technologies, industry trends, and competitive movements
• Align technical strategy with customer and business priorities
• Provide hands-on technical guidance, architectural leadership, and mentorship
• Align stakeholders, build consensus, and drive execution across organizational boundaries
• Represent Acumatica externally with customers, partners, analysts, and at industry events and conferences

Distinguished Engineer – AI, Engineering Transformation

• Design and architect AI IT systems integrating business processes, customer experiences, applications, data, machine learning models, generative AI, and technology platforms
• Lead planning, evaluation, and optimization of Generative AI, Agentic AI, and intelligent automation capabilities
• Ensure integrated AI architecture across technology systems, data platforms, cloud and on-premises environments, and customer-facing digital channels
• Create and manage AI architecture blueprints, standards, reference architectures, and governance frameworks
• Develop technical design recommendations for integrating AI, machine learning, generative AI, intelligent automation, and AI platform capabilities into products, services, and applications
• Identify and mitigate AI solution, model performance, ethical AI, security, compliance, and design risks
• Establish and promote Responsible AI practices, including fairness, transparency, explainability, privacy, security, guardrails, observability, Evals, model governance, and regulatory compliance
• Attract, retain, coach, recognize, and develop AI architecture talent
• Direct AI architecture and transformation strategies across multiple business units
• Advise technical teams and optimize AI-enabled solutions for strategic, operational, secure, and economical outcomes
• Participate in system specification reviews and ensure scalable, explainable, secure, and sustainable architecture designs
• Research technologies, perform proofs of concept and prototypes, and recommend foundation models, LLM platforms, AI agents, AI tools, and LLMOps/AIFinOps capabilities
• Deliver AI-powered solutions supporting customer experience, personalization, engagement, and operational efficiency
• Provide architectural input to business cases, including feasibility, risks, AI value realization, guardrails, Evals, observability, scalability, and Responsible AI
• Lead enterprise-wide initiatives integrating data, analytics, AI platforms, machine learning, and customer-facing technologies
• Serve as a senior AI architect and strategic advisor across BMO
• Collaborate with product management, AI engineering, risk, compliance, legal, customer experience teams, AI vendors, and cloud providers
• Communicate complex AI concepts, business value, technical trade-offs, model risks, and governance requirements clearly
• Anticipate AI and customer expectation trends to drive innovation and competitive advantage
• Apply BMO’s Risk Management Framework, Risk Culture, Risk Appetite, AI governance standards, model risk management, privacy regulations, cybersecurity controls, and Responsible AI principles

Director, AI Architecture – B2C

• Design, implement, and optimize gameplay AI systems for a new co-development project with Epic
• Work with the design team to define AI requirements
• Iterate on AI systems to create fun, engaging, and satisfying AI encounters
• Collaborate with designers, artists, animators, and engineers to develop AI behaviors and encounters
• Design and drive game AI systems and architecture
• Develop game AI test cases and integrate them with the QA team
• Collaborate with production and leadership to create and manage production tasks for AI features
• Self-manage time and responsibilities
• Participate in playtests and develop solutions for AI problems

AI Engineer jobs in Washington

Distinguished Engineer – AI, Engineering Transformation

Director, AI Architecture – B2C

Senior Game AI Engineer