AI Enablement Engineer

AI Enablement EngineerLocation: Remote within the USA, or onsite in Buffalo, NY / Wilmington, DE (client preference for candidates near these areas). New hires are required to work onsite at the client's office for the first 2–3 weeks (treated as a business trip; travel expenses covered by the company).Company Overview: Glint Tech Solutions is a women-owned, global IT staffing and recruiting firm serving enterprise clients across the USA and Canada.Project Description: A leading financial services client is seeking an AI Use Case Intake & Value Lead who will own the front door of the bank's AI program — the use-case intake framework, stage gates, prioritization methodology, and value/ROI measurement that determine what the bank builds, in what order, and with what expected return. This is an engineering seat: the role builds the intake and portfolio tooling itself (workflow automation, GenAI-assisted intake screening, usage-data integration for value tracking), technically evaluates proposed use cases against platform capabilities and constraints, and constructs value measurement from real platform telemetry.Key ResponsibilitiesDesign, implement, and operate the enterprise AI use-case intake framework, including submission, screening, risk-tier alignment, stage gates, and approval workflow integrated with governance and platform onboardingDefine intake requirements and templates (business case, data classification, oversight model, success criteria)Maintain the AI use-case portfolio and pipeline as a managed system of recordFacilitate intake reviews and prioritization forums with business sponsors, governance, and platform stakeholdersBuild and maintain the ROI and value-measurement methodology for AI use cases, including baseline capture, benefit hypotheses, and realized-value trackingPartner with the observability/FinOps function to connect usage and spend data to business casesProduce portfolio-level reporting for leadership on value delivered, adoption, cost trends, and prioritization recommendationsDevelop benefit-realization checkpoints into the use-case lifecycleServe as the primary intake partner for business lines bringing AI use cases forward, coaching sponsors through requirements and gate readinessTranslate between business intent and technical delivery, working with solution architecture and platform engineeringProvide work direction and quality review to business analysts and developers supporting use-case documentationDrive awareness and adoption of the intake process across business lines through communications and enablement sessionsContinuously improve the intake process based on cycle-time, sponsor feedback, and governance findingsMandatory SkillsBachelor's degree and 5+ years' experience in business systems analysis, product/portfolio management, or technology program analysis (or 9 years combined education/relevant work experience in lieu of degree)Demonstrated experience designing and operating intake, demand-management, or stage-gate processes for technology initiatives, with technical depth to evaluate AI feasibility, platform fit, and consumption economicsStrong financial and value analysis skills — business cases, ROI modeling, cost/benefit tracking, executive reportingWorking technical fluency with AI/GenAI concepts, consumption-based cost models, and enterprise delivery lifecycles (SDLC/Agile)Strong facilitation, communication, and stakeholder management skills across business and technology audiencesAdvanced proficiency with analysis and reporting tools (Excel, Power BI, or equivalent)Nice-to-Have SkillsExperience with AI/GenAI portfolio management, FinOps concepts, or usage-based cost allocationExperience in financial services or another highly regulated industryFamiliarity with governance and risk processes (risk tiering, data classification, third-party risk)Experience with workflow/intake tooling (ServiceNow, Jira, or equivalent)