AI Solutions Engineer - ERP Systems

Company

Federal Reserve Bank of RichmondWhen you join the Federal Reserve—the nation’s central bank—you’ll play a key role, collaborating with a dynamic and diverse team of mission-driven professionals to strengthen and protect our economy and our communities.

Bring your passion and expertise, and we’ll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life. In addition to competitive compensation, we offer a comprehensive benefits package that includes tuition assistance, generous paid time off, top-notch health care benefits, child and family care leave, professional development opportunities, a 401(k) match, pension, and more. All brought together in a flexible work environment where you can truly find balance.

Onsite presence is required.

About the Opportunity

The Enterprise Resources Planning department has an immediate opening for an AI Solutions Engineer, reporting to Senior Manager - Product Manager.

The Enterprise Resource Planning (ERP) Support Office seeks an AI Solutions Engineer with Cloud experience to bring AI innovation across our enterprise while building the Platform-as-a-Service (PaaS) foundation that enables it. This is a ground-floor opportunity to be a part of driving how AI transforms HR, finance, and procurement—while establishing the cloud platform capabilities needed to scale those solutions.

You’ll begin by deploying and configuring native AI features within ERP vendor platforms (intelligent agents, assistants, automation), then progressively build the platform capabilities needed for custom AI applications, advanced integrations, and end-to-end automation solutions that connect across the enterprise. Your cloud engineering experience will be instrumental in developing deployment pipelines and engineering processes as we mature our PaaS capabilities.

This is a fully onsite position located in Richmond, Boston and Kansas District location.

What You Will Do:

• Translate business and operational challenges into practical AI opportunities and technical solutions
• Deploy and configure AI capabilities in ERP platforms and products such as Workday and SAP Ariba (AI agents, assistants, automation features)
• Build custom AI solutions including intelligent agents, chatbots and automation leveraging Gen AI and LLMs as platform maturity increases
• Define and document technical specifications for deploying ERP and AI solutions and capabilities.
• Lead AI projects from concept to production, ensuring business alignment and measurable ROI
• Enable PaaS environments within Workday and SAP to support AI deployments and future custom development
• Help develop deployment pipelines and engineering processes as we establish PaaS services, bringing your cloud engineering expertise
• Configure and integrate platform services, security, and governance with corporate cloud computing services and other business systems
• Assess emerging technologies and recommend adoption approaches, contributing to the ERP technology roadmap
• Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership
• Champion AI literacy through training, demonstrations, and knowledge sharing across the organization
• Provide production support and knowledge training for solutions you deploy

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field
• 10+ years in IT/software engineering with hands-on experience in corporate/industry environments
• Proven track record deploying AI solutions to production in corporate settings (traditional AI, Gen AI, or agentic AI)
• 3+ years with enterprise cloud platforms (Workday, SAP, Oracle, Salesforce, or similar) in technical or configuration capacity
• Strong communication skills to explain complex or technical concepts to non-technical stakeholders, especially with regards to AI solutions
• Experience with deployment pipelines, CI/CD, or DevOps practices
• Hands-on experience deploying AI/ML solutions including Machine Learning, Gen AI, LLMs, AI agents, or chatbots to production
• Platform configuration expertise with enterprise SaaS/PaaS systems or experience with IaaS environments
• Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)
• Data management: SQL, data pipelines, data quality assessment
• Programming proficiency in Python

**Preferre…