AI ERP Solutions Engineer — Cloud PaaS Innovator

Federal Reserve Bank of Richmond; Richmond (VA); On-site; USD 133,000 - 183,000; Full time

Benefits offered by this job

Great medical benefits

Pension and 401(k)

Paid time off

Tuition reimbursement

Paid volunteer leave

Job summary

Federal Reserve Bank of Richmond is seeking an AI Solutions Engineer to implement AI capabilities across ERP platforms and to develop a scalable PaaS foundation. You will deploy AI features, lead projects from concept to production, and enable cloud-enabled AI deployments within critical enterprise systems.

Ideal candidates bring 10+ years in IT with hands-on AI production experience and strong cloud platform know-how across Workday, SAP Ariba, Oracle, and related services.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10+ years in IT/software engineering with hands-on experience in corporate 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 concepts to non-technical stakeholders, especially regarding AI solutions.
• Experience with deployment pipelines, CI/CD, or DevOps practices.
• Hands-on experience deploying AI/ML solutions including ML, Gen AI, LLMs, AI agents, or chatbots to production.
• Platform configuration expertise with enterprise SaaS/PaaS systems or IaaS environments.
• Integration skills: RESTful APIs, webhooks, data flows, authentication (OAuth, SAML)
• Data management: SQL, data pipelines, data quality assessment
• Programming proficiency in Python

Responsibilities

• 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 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.

Skills

Python

Gen AI

LLMs

CI/CD

Communication

Cloud engineering

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Workday

SAP Ariba

Workday Extend

SAP BTP

Oracle

Salesforce

Kubernetes

Job description

Federal Reserve Bank of Richmond is seeking an AI Solutions Engineer to implement AI capabilities across ERP platforms and to develop a scalable PaaS foundation. You will deploy AI features, lead projects from concept to production, and enable cloud-enabled AI deployments within critical enterprise systems.

Ideal candidates bring 10+ years in IT with hands-on AI production experience and strong cloud platform know-how across Workday, SAP Ariba, Oracle, and related services.