At Customers Bank, we believe in working hard, working smart, working together to deliver memorable customer experiences and having fun. Our vision, mission, and values guide us along our path to achieve excellence. Passion, attitude, creativity, integrity, alignment, and execution are cornerstones of our behaviors. They define who we are as an organization and as individuals. Everyone is encouraged to have personal development plans. By doing so, our team members are on their way to achieve their highest potential and be successful in their personal and professional lives.
Must be legally eligible to work in the United States without sponsorship, current or future, to be considered.
Who is Customers Bank?
Founded in 2009, Customers Bank is a super-community bank with over $25 billion in assets. We believe in dedicated personal service for the businesses, professionals, individuals, and families we work with.
Consistently ranked among the top-performing banks in the nation, Customers Bank has earned recognition as a Fintech Best Places to Work — a testament to the talent, culture, and mission-driven work happening here every day.
We get you further, faster.
Focused on you: We provide every customer with a single point of contact. A dedicated team member who’s committed to meeting your needs today and tomorrow.
On the leading edge: We’re innovating with the latest tools and technology so we can react to market conditions quicker and help you get ahead.
Proven reliability: We always ground our innovation in our deep experience and strong financial foundation, so we’re a partner you can trust.
What you’ll do:
The Enterprise AI Engineer is a high-impact, highly visible role at the intersection of artificial intelligence, business strategy, and hands-on technical execution. This is a field-facing, mission-critical role for engineers who think like founders and operate like consultants. In this role, you won’t just be building technology for the bank; you’ll be working side by side with engineers from our strategic partners, such as OpenAI & ElevenLabs.
The Enterprise AI Engineer will be a member of a central team fully focused on delivering automation & AI-powered solutions that solve real problems and create measurable impact. You will partner with business units and functional areas to understand complex challenges, design and build production-grade AI and automation workflows, and implement scalable systems and elevated capability.
This role demands a rare combination: deep technical acuity, executive presence, and the instinct to translate ambiguous business needs into working solutions.
Key Responsibilities
Business Solutioning, Engineering & Delivery
- Embed within business functions across the institution to identify, scope, and deliver automation and AI-enabled solutions that address high-priority operational and strategic challenges.
- Translate complex, ambiguous business problems into structured technical requirements and delivery plans.
- Lead end-to-end project delivery from discovery and prototyping through production deployment and adoption, maintaining clear accountability at each stage.
- Build production-ready solutions with strong engineering fundamentals: reliability, observability, security, and scalability.
- Write, review, and ship code across the stack using Python, JavaScript/TypeScript, or comparable languages.
- Integrate AI capabilities with core banking platforms, data infrastructure, and third-party systems via APIs and data pipelines.
- Ensure AI systems meet model risk management standards, data governance policies, and applicable regulatory expectations.
Stakeholder Engagement & Change Leadership
- Develop playbooks, reusable components, and implementation patterns that accelerate future AI deployments across the institution.
- Represent AI capabilities and implementation insights in executive and governance forums as needed.
- Build trusted relationships with senior business leaders, risk officers, operations leaders, and technology teams across the institution.
- Communicate complex technical concepts clearly and compellingly to non-technical audiences, adapting messaging to the audience.
- Lead change management and adoption efforts to ensure AI solutions are embedded, understood, and sustained within business teams.
- Facilitate working sessions, stakeholder reviews, and demos that drive alignment and accelerate decision-making.
AI Governance, Risk & Regulatory Alignment
- Ensure deployed AI systems are developed and maintained in accordance with the Bank’s AI governance framework, model risk management standards, and applicable regulatory guidance (OCC, FFIEC, FinCEN).
- Coordinate with Model Risk Management, Compliance, Legal, and Audit teams to support reviews, validations, and documentation of AI systems.
- Maintain accurate records for AI model inventories, governance logs, and deployment documentation.
- Monitor and communicate emerging regulatory developments related to AI/ML use in financial services.
- Identify risks in AI systems early and surface them through appropriate governance channels with recommended mitigations.
What do you need?
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related technical field; advanced degree a plus.
- Minimum 4+ years of experience in software engineering, AI/ML engineering, technical deployment, or a related field, including demonstrated customer- or business-facing delivery.
- Proven ability to build and ship production-grade AI systems using LLMs / generative AI
- Strong full-stack engineering proficiency with Python, JavaScript/TypeScript, or comparable languages.
- Demonstrated ability to scope complex technical projects, drive delivery in ambiguous environments, and manage competing priorities without losing momentum.
- Outstanding communication skills: able to engage C-suite stakeholders and technical engineers with equal fluency.
- High degree of intellectual curiosity and a growth mindset — you actively seek out what you don’t know and close those gaps fast.
- Ability and willingness to travel to business unit sites across the institution and to key external engagements as needed.
Preferred Qualifications (Nice to Haves)
- Experience working in regulated industries — financial services, healthcare, or government — with an understanding of compliance and risk considerations in AI deployment.
- Familiarity with banking operations, risk management, BSA/AML processes, or financial crimes compliance functions.
- Background in data engineering or platform engineering in cloud environments (AWS, Azure, or GCP).
- Experience working in a forward-deployed, consulting, or embedded engineering capacity with business clients.
- Exposure to enterprise AI governance frameworks, model risk management, or responsible AI practices.
- Professional certifications in AI/ML, cloud architecture, or project management are a plus.
Technology Skills
- Proficiency in Python and JavaScript/TypeScript for full-stack AI development.
- Experience with LLM orchestration frameworks and API-based model deployment.
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Proficiency in Microsoft Office applications (Word, Excel, PowerPoint, Outlook) for executive communication and documentation.
- Experience with project management and collaboration tools such as Jira, Confluence, SharePoint, or similar platforms.
Customers Bank is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also provide “reasonable accommodations”, upon request, to qualified individuals with disabilities, in accordance with the Americans with Disabilities Act and applicable state and local laws.
Diversity Statement:
At Customers Bank, we believe in working smart, working together, and having fun while delivering innovative solutions and memorable experiences for our customers. We are committed to the continual advancement of a culture which reflects the value we place on diversity, equity, and inclusion. We honor the diverse experiences, perspectives, and identities of our team members, and we recognize that it is their passion, creativity, and integrity that drives our success. Step into your future with us! Let’s take on tomorrow.
