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OnPoint Community Credit Union · 20 hours ago

Solutions Engineer, AI

Montgomery Park, 2701 NW Vaughn St, Portland, Oregon, United States of America

Full-time

Hybrid

Senior Level

5+ years exp

OnPoint Community Credit Union is creating a hands-on AI Engineer role to identify, roadmap, roll out, and incorporate AI technologies that improve employee productivity across all departments and enhance member-facing experiences. This role emphasizes evaluating, buying, and integrating commercial AI solutions into OnPoint’s ecosystem.

BankingConsultingFinancial ServicesInsurance

Comp. & Benefits

Responsibilities

Maintain an enterprise backlog of AI opportunities across employee and member workflows; prioritize based on feasibility, security, compliance, and member/business value

Publish standards for success measures (adoption, hours saved, quality uplift, CSAT/NPS impact) and report progress quarterly

Scan the market, evaluate vendors, and publish radar (product capabilities, model behavior, explainability, security posture, data handling, support/SLA, cost)

Lead third‑party due diligence with Information Security, Risk, and Legal, documenting model/agent usage, guardrails, data flows, and residual risks in accordance with OnPoint’s GenAI Standard and regulatory expectations

Configure and integrate commercial AI tools with Microsoft 365 (Outlook, Teams, Word, Excel, PowerPoint), SharePoint/OneDrive, and approved APIs

Coordinate with system owners to enable secure connections to core platforms (e.g., Fiserv DNA), LOS/digital origination, and relevant mortgage/collections peer systems (e.g., MSP/ICE, Temenos) where member functionality is affected

When needed, implement light orchestration (prompt templates, retrieval‑augmented generation, semantic search) using approved cloud services—never exposing Restricted data outside OnPoint’s governed environments

Build champion networks and guided practice (labs, office hours, playbooks) for high‑value Copilot scenarios by role; collect feedback and iterate enablement materials

Partner with L&D/Communications to deliver ‘What good looks like’ content and onboarding for new AI tools (including Copilot access methods and do/don’t guidance)

Enforce OnPoint’s GenAI Standard, acceptable‑use rules, and content hygiene; implement filters/controls to prevent inappropriate or risky outputs

Produce model/agent run-books and audit-ready artifacts: data lineage, access controls, usage logs, evaluation results, and exception management

Prepare for supervisory exams with documented model risk practices and third‑party vendor reviews aligned to NCUA risk expectations

Stand up metrics for adoption and impact (e.g., hours saved per cohort, content quality improvements, member journey metrics); publish quarterly improvements

Harvest learnings from pilots into hardened patterns and enterprise standards; retire low‑value tools

Qualification

Commercial AI toolsVendor evaluationM365/Azure knowledgeSaaS platformsData governancePrompt designChange leadershipTraining programsFinancial services experienceCredit union familiarity

Required

5+ years in enterprise technology, solutions engineering, or product enablement with hands-on delivery of SaaS platforms; financial services experience preferred

Demonstrated success rolling out commercial AI tools (e.g., Microsoft 365 Copilot, GitHub Copilot) at scale with measurable productivity impact

Strong vendor evaluation and third‑party risk skills (security, privacy, compliance), and experience coordinating with InfoSec, Legal, and ERM

Working knowledge of M365/Azure (Teams, SharePoint, Entra ID, Purview), data governance and secure integration patterns

Practical prompt design and light orchestration (RAG, vector search) for commercial platforms; ability to document experiments and outcomes clearly

Preferred

Credit union/banking domain familiarity; experience integrating with core systems (e.g., Fiserv DNA), LOS, and mortgage/collections peer systems (e.g., MSP/ICE, Temenos)

Experience building enablement programs (champions, workshops, usage telemetry) for Copilot-like tools

Awareness of FFIEC/GLBA and emerging NCUA guidance related to AI, model risk, cybersecurity, and third‑party oversight