AI/ML Principal Engineer

FIS•Atlanta, GA

About The Position

We are seeking a senior product and commercial leader to define, scale, and monetize Agentic AI solutions/services for the banking industry across banking deposit/loans back office, banking call center, Core Conversion, IT ops, Security and Risk. This role is accountable for turning AI capabilities into market-ready products, client adoption, and measurable revenue growth. You will operate at the intersection of product, sales, and client engagement—owning the full lifecycle from concept through pilot, commercialization, and scaled adoption.

Requirements

12+ years in product leadership, strategy, or commercialization roles
Proven success launching and scaling enterprise B2B products, ideally in banking, fintech, or financial services
Track record of driving revenue growth from new product offerings
Strong understanding of banking and IT operations (core, payments, risk, compliance, or back office)
Demonstrated ability to translate emerging technologies (AI/automation) into commercial solutions
Experience working across product, sales, and engineering organizations
Ability to influence senior stakeholders internally and externally

Nice To Haves

Builder mindset: able to take products from 0 → 1 → scale
Commercially driven: decisions anchored in revenue, margin, and ROI
Client-centric: trusted advisor to senior leaders within banking organizations
Execution-focused: delivers outcomes, not just strategy

Responsibilities

Establish and lead a Bank AI Working Council to co-develop solutions with clients
Drive client evangelization and convert early adopters into referenceable accounts
Represent the organization with industry analysts, at conferences, and in executive client forums
Lead pilot and early adopter programs, ensuring successful transition to production deployments
Translate client feedback into targeted go-to-market strategies and sales plays
Build momentum from pilots to scaled adoption across banking segments
Analyze banking segments by size, AUM, and needs to define target markets
Develop solution packages tailored to specific segments with clear value propositions
Define total addressable market (TAM), spend potential, and pricing strategies
Build and manage a pipeline of new capabilities and enhancements
Prioritize investments based on ROI, client demand, and revenue potential
Secure funding and drive alignment across stakeholders
Partner with product and engineering teams to embed approved concepts into roadmaps
Drive build/buy/partner decisions and ensure timely delivery through established processes
Lead market expansion strategy: Start with core banking clients Expand to non-core banks, payments clients, and enterprise segments Scale offerings geographically (North America → international markets)
Ensure solutions are modular and deployable across varied client environments