AI Solutions Engineer - ERP Systems
Quick Summary
Bachelor’s degree in Computer Science, Engineering,
About the Role
~1 min read- 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
Requirements
~2 min read- 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
- 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
- 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.
The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.
- Eligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA
- 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.
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!
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 (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
Location & Eligibility
About this job
- Pay per year
- $133,000–$183,000 a year
- 7% below the $169,425 median for Sales Engineer jobs on Jobera (754 salaries).
- Posted
- Today
Listing Details
- First seen
- October 30, 2026
- Last seen
- October 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 62%
- Scored at
- October 30, 2026
Signal breakdown
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