Job description

Company Federal Reserve Bank of Richmond When 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, 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 Locations: The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite. The following Reserve Bank locations are preferred due to the concentration of System IT team members in these locations: Atlanta, Boston, Chicago, Kansas City, Minneapolis, New York, Richmond, and San Francisco. (example for limited posting locations).] Salary: The hiring salary range is $133,000 – $183,000 annually. The listed salary is applicable to 5th District. Final offers are determined by factors including the candidate’s qualifications, internal alignment considerations, district assignment, and geographic location.  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 mat 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. Applications are reviewed on a rolling basis. Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels. Full Time / Part Time Full time Regular / Temporary Regular Job Exempt (Yes / No) Yes Job Category Information Technology Family Group Work Shift First (United States of America) 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. Always verify and apply to jobs on Federal Reserve System Careers ( rb.wd5.myworkdayjobs.com ) or through verified Federal Reserve Bank social media channels. Privacy Notice

Requirements

Must-haves

Company Federal Reserve Bank of Richmond
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdmlmachine learningsqlpythonawsazuregcp

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off