Senior/Lead Forward Design AI Engineer – Genesys Cloud

This role is four days onsite, with the flexibility to work from home one day per week M&T Work Model - 4 Days In-Office | 1 Day Work From Home

The Bank sponsors individuals for TN and H-1B transfers on a case by case basis. Please note that this position is not open to anyone on an F-1 student visa including those eligible for CPT/OPT or the Stem OPT extension.

ROLE PURPOSE Operate with a forward-deployed engineering (FDE) mindset by working closely with delivery teams and business users, rapidly converting ambiguous operational needs into practical prototypes, implementation-ready designs, and adopted production outcomes. Leverage our AI capabilities using GITLAB duo, Copilot, Atlas AI, and/or other AI tools to help accelerate the deployment lifecycle within our Agile framework. Provide higher level tiered support across our domain and ART’s as it pertains to implementing enterprise level solutions supporting for our core banking systems, CCaaS (Genesys), CRM, ITSM, ServiceNow, and other systems.

Primary Responsibilities

Experience Design and Engineering Support

• Lead discovery with business, operations, product, technology, architecture, risk, and control partners to define problems, desired outcomes, user journeys, business capabilities, and scope.

• Create and maintain concise business and functional requirements, process models, user stories, acceptance criteria, data requirements, decision logs, and traceability for complex initiatives.· Familiarize/analyze current-state processes and customer or employee pain points; recommend future-state workflows that are usable, scalable, measurable, and aligned to enterprise and team standards.

• Assess impacts across channels, applications, integrations, data, operating procedures, controls, and support models.

Genesys Cloud and Contact Center Expertise

• Apply hands-on knowledge of Genesys Cloud capabilities, configuration concepts, routing, digital and voice journeys, workforce engagement, analytics, integrations, and contact center operations.

• Partner with product owners, architects, software engineers, and solution developers to evaluate solution options and translate platform capabilities and constraints into business decisions.

• Maintain knowledge of Genesys Cloud product evolution and assess emerging capabilities for business value, readiness, dependencies, risk, and adoption impact.

• Serve as a functional subject matter expert during design reviews, technology assessments, implementation planning, and operational readiness.

AI, Automation, and Responsible Adoption

• Identify and assess AI-enabled opportunities across virtual agents, agentic agents and supervisor assistance, knowledge, conversation intelligence, predictive engagement and routing, and experience orchestration, etc.

• Use structured prompting techniques to support analysis, requirements development, summarization, research, test design, and knowledge work; validate AI output for accuracy, relevance, bias, and appropriate use.

• Define AI use cases with clear users, intents, data inputs, workflow boundaries, human-in-the-loop controls, exception handling, success measures, and adoption requirements.

• Partner with solution architecture, security, privacy, legal, risk, data, and model-governance stakeholders to establish transparency, explainability, auditability, oversight, and operational risk considerations.

• Work with business partners to establish and document measurable outcomes and benefits hypotheses for AI initiatives, including customer experience, employee productivity, containment or deflection, quality, risk reduction, and cost efficiency.

Forward-Deployed Delivery and Solution Enablement POC’s

• Embed closely with business users, operations, product teams, engineers, and platform partners to understand real workflow constraints and accelerate time from discovery to usable outcomes within M&T agile framework.

• Work effectively in ambiguous and evolving problem spaces; form hypotheses, validate them through rapid feedback, and refine requirements and solution approaches as evidence emerges.

• Partner in rapid prototyping, proof-of-value development, configuration, integration validation, and production-readiness activities while maintaining enterprise security, risk, architecture, and change standards.

• Own outcomes end to end across discovery, design, delivery, adoption, stabilization, and measurement rather than limiting accountability to requirements documentation.

• Troubleshoot functional, workflow, data, integration, and adoption issues with engineering teams; translate field observations into prioritized improvements and reusable patterns.

• Build trust through hands-on collaboration, clear tradeoff communication, practical problem solving, user enablement, knowledge transfer, and concise operational documentation.

Agile Delivery, Testing, and Implementation

• Partner with Agile Teams and Product Owners to refine backlogs, sequence…