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Richmond, Virginia, United States
Onsite
Not Available
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
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
Discover the Reason Why So Many People Love It Here!
When you join the Richmond Fed, not only will you find a challenging and purposeful career, you’ll also have access to a wide range of benefits and perks that support your health and wealth, including:
Great medical benefits
Pension and 401(k) with employer match
Paid time off
Tuition reimbursement
Paid volunteer leave
Onsite amenities that make working here fun!
Other Requirements and Considerations:
Candidates should review the Bank’s Employee Code of Conduct to ensure compliance with conflict of interest rules and personal investment restrictions.
If you need assistance or an accommodation due to a disability, please notify rich.recruit@rich.frb.org.
Sponsorship is not available for this role. The selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Eligibility for this specific position requires U.S. Citizenship.
The hiring salary range is $133,000 – $183,000 annually.
For candidates located outside of Richmond, VA, the listed hiring and salary ranges may be adjusted based on your geographic location.
Salary offered will be based on the job responsibilities and the individual’s knowledge, skills, and experience as defined in the job qualifications.
Applications are reviewed on a rolling basis.
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Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.