AI Solutions Engineer

Company Federal Reserve Bank of RichmondWhen you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

About the Opportunity
The District IT & Corporate Services portfolio provides enterprise technology solutions and services for the System's District IT needs as well as the corporate and administrative functions. This portfolio supports District IT for each of the 12 Reserve Banks and eight critical business lines Systemwide: Human Resources, Legal, Shared Administrative Services, Finance, Procurement, Audit, Law Enforcement and Facilities.

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, authenticat