AI Enablement Engineer

Glint Tech Solutions; Buffalo (NY); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Glint Tech Solutions seeks an AI Enablement Engineer to own the AI use-case intake framework, from submission and screening to ROI measurement and governance integration.

You will design intake templates, maintain a portfolio of AI use cases, and collaborate with business sponsors and tech teams to drive prioritized delivery and value realization across client initiatives.

Qualifications

• Bachelor's degree or 5+ years in business systems analysis, product/portfolio management, or tech program analysis (or 9 years combined education/relevant work).
• Experience designing and operating intake, demand-management, or stage-gate processes for technology initiatives with AI feasibility evaluation.
• Strong financial and value analysis skills: business cases, ROI modeling, cost/benefit tracking, executive reporting.
• Working fluency with AI/GenAI concepts, consumption-based cost models, and enterprise delivery lifecycles (SDLC/Agile).
• Strong facilitation, communication, and stakeholder management across business and technology audiences.
• Advanced proficiency with analysis and reporting tools (Excel, Power BI, or equivalent).

Responsibilities

• Design, implement, and operate the enterprise AI use-case intake framework with governance and onboarding.
• Define 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 record.
• Facilitate intake reviews and prioritization forums with sponsors, governance, and platform stakeholders.
• Build ROI and value-measurement methodology for AI use cases, including baseline capture and realized-value tracking.
• Partner with observability/FinOps to connect usage and spend data to business cases.
• Produce portfolio-level reporting on value delivered, adoption, cost trends, and prioritization.
• Develop benefit-realization checkpoints into the use-case lifecycle.
• Serve as intake partner for business lines, coaching sponsors through gate readiness.
• Translate between business intent and technical delivery with solution architecture and platform engineering.
• Provide direction and quality review to business analysts and developers.
• Drive awareness and adoption of the intake process across lines via enablement sessions.
• Continuously improve the intake process based on cycle-time, sponsor feedback, and governance findings.

Skills

Business analysis

Portfolio management

Intake/process design

Financial analysis

GenAI concepts

SDLC/Agile

Stakeholder management

Excel/Power BI

Education

Bachelor's degree or equivalent in related field

Tools

ServiceNow

Jira

Excel

Power BI

Job description

Job Title:

AI Enablement Engineer

Location:

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 Responsibilities

• Design, 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 onboarding
• Define 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 record
• Facilitate intake reviews and prioritization forums with business sponsors, governance, and platform stakeholders
• Build and maintain the ROI and value-measurement methodology for AI use cases, including baseline capture, benefit hypotheses, and realized-value tracking
• Partner with the observability/FinOps function to connect usage and spend data to business cases
• Produce portfolio-level reporting for leadership on value delivered, adoption, cost trends, and prioritization recommendations
• Develop benefit-realization checkpoints into the use-case lifecycle
• Serve as the primary intake partner for business lines bringing AI use cases forward, coaching sponsors through requirements and gate readiness
• Translate between business intent and technical delivery, working with solution architecture and platform engineering
• Provide work direction and quality review to business analysts and developers supporting use-case documentation
• Drive awareness and adoption of the intake process across business lines through communications and enablement sessions
• Continuously improve the intake process based on cycle-time, sponsor feedback, and governance findings

Mandatory Skills

• Bachelor'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 economics
• Strong financial and value analysis skills - business cases, ROI modeling, cost/benefit tracking, executive reporting
• Working 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 audiences
• Advanced proficiency with analysis and reporting tools (Excel, Power BI, or equivalent)

Nice-to-Have Skills

• Experience with AI/GenAI portfolio management, FinOps concepts, or usage-based cost allocation
• Experience in financial services or another highly regulated industry
• Familiarity with governance and risk processes (risk tiering, data classification, third-party risk)
• Experience with workflow/intake tooling (ServiceNow, Jira, or equivalent)