AI Solutions Engineer - ERP Systems

About the role

The Enterprise Resources Planning (ERP) Support Office at the Federal Reserve Bank of Richmond is seeking an AI Solutions Engineer to drive AI innovation across the enterprise. This role involves deploying and configuring AI features within ERP platforms, building custom AI solutions, and establishing the cloud platform capabilities needed to scale these solutions.

Responsibilities

• Translate business and operational challenges into practical AI opportunities and technical solutions
• Deploy and configure AI capabilities in ERP platforms like Workday and SAP Ariba (AI agents, assistants, automation)
• Build custom AI solutions including intelligent agents, chatbots, and automation leveraging Gen AI and LLMs
• 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
• 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
• Audit 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

Preferred Qualifications

• 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
• DevOps/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