AI Solutions Engineer – ERP Systems

About the Opportunity

The Enterprise Resource Planning department at the Federal Reserve Bank of Richmond has an immediate opening for an AI Solutions Engineer reporting to the Senior Manager – Product Manager.

The role involves deploying and configuring AI capabilities within ERP platforms such as Workday and SAP Ariba to transform HR, finance, and procurement. You will build custom AI solutions—including chatbots and intelligent agents—while establishing the PaaS foundation and deployment pipelines.

This fully onsite position is located in Richmond, Virginia.

Requires a Bachelor’s degree in Computer Science or Engineering and over 10 years of IT experience, including a proven track record of deploying AI solutions in corporate settings.

Candidates must have 3+ years of experience with enterprise cloud platforms and proficiency in Python and integration technologies.

• 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

• 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 regarding AI solutions
• Experience with deployment pipelines, CI/CD, or Dev Ops 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

• Hands‑on experience with Workday AI, SAP AI capabilities, or similar vendor‑embedded AI
• Knowledge or experience with Workday Extend, SAP BTP, or similar platforms for custom development
• Process workflow automation knowledge/experience
• Dev Ops/MLOps experience building CI/CD pipelines and automation frameworks
• Cloud platform experience (AWS, Azure, GCP) and AI/ML services and frameworks
• Domain knowledge in HR, finance, or procurement
• AI/ML or cloud certifications

The hiring salary range is $133,000 – $183,000 annually. Salary will be based on the job responsibilities and the individual’s knowledge, skills, and experience.

• Sponsorship is not available for this role.
• Selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information; U.S. citizenship required.
• Applications are reviewed on a rolling basis.

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.