Forward Deployed Engineer I​/II, AI Enablement

Job Category: Technical

Requisition Number: FORWA
006464

• Full-Time

Showing 1 location

Spokane, WA 99201, USA

The Forward Deployed Engineer, AI Enablement partners with business areas across the Bank to identify, design, build, document, and improve AI-enabled workflows and capabilities that make it easy to Sell, Service, and Scale the company. This role helps translate business needs into practical solutions by combining business process understanding, data literacy, AI fluency, stakeholder communication, and lightweight technical implementation. The Forward Deployed Engineer works with business users, process owners, technology, data, security, risk, and governance partners to develop safe, useful, and reusable AI-enabled tools, templates, workflows, documentation, and service patterns.

This position requires curiosity, critical thinking, creativity, strong follow-through, and comfort operating in work that may not be fully defined at the start.

Essential Functions:

• Embeds with business teams and process owners to understand how work moves end to end across people, processes, systems, data, decisions, controls, handoffs, and exception paths.
• Identifies high-value opportunities to reduce cognitive, context, coordination, execution, quality, or design burden.
• Determines whether AI, deterministic automation, data capability, reporting, process redesign, or human judgment is the appropriate response.
• Designs future-state workflows with clear ownership, human and AI responsibilities, review points, exception handling, data boundaries, system interactions, and control requirements.
• Designs, builds, and validates working AI-enabled solutions that combine agents, approved data, APIs, automation, reporting, workflow components, and human review into cohesive business capabilities.
• Develops agent instructions, system prompts, tool-use patterns, structured outputs, context and retrieval approaches, evaluation criteria, error handling, and escalation paths appropriate to the use case.
• Uses programming, scripting, agentic development workflows, APIs, approved platforms, and automation tools to build, inspect, test, debug, and refine solutions.
• Builds small, testable versions; validates them with domain experts and users; and iterates based on workflow fit, output quality, reliability, usability, adoption, and business value.
• Advances successful prototypes toward operational use by defining production-readiness requirements, runbooks, monitoring expectations, service ownership, permissions, support paths, change requirements, and control points with appropriate partners.
• Documents assumptions, decisions, limitations, risks, dependencies, evaluation results, support requirements, and handoff information so capabilities can be reviewed, maintained, supported, and reused.
• Measures outcomes such as reduced cycle time, fewer handoffs, less rework, improved consistency, stronger decision context, increased operating capacity, adoption, governance confidence, and reuse.
• Converts successful local solutions into reusable agents, modules, templates, data or context assets, playbooks, evaluation patterns, and service models that accelerate future work.
• Identifies when an AI-enabled approach is inappropriate and recommends deterministic process, data, reporting, automation, or human-owned alternatives.
• Escalates data, security, privacy, risk, compliance, governance, production, integration, or supportability concerns early and works with the appropriate owners to resolve or document them.

Qualifications:

• Demonstrated ability to understand complex business processes, identify high-value improvement opportunities, and translate them into practical technology-enabled solutions.
• Experience designing, building, testing, and operationalizing AI-enabled workflows, agents, automations, applications, reporting, or decision-support capabilities.
• Working knowledge of agentic AI concepts, including instructions, tool use, structured outputs, contextual grounding, retrieval, human review, exception handling, orchestration, and evaluation.
• Experience using agentic and command-line development workflows—including tools such as Git…