This role pays less than
55%
of similar roles. Most pay
$139,004–$196,750
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$168k
for comparable roles.
Based on 240 similar postings.
Employer
About The Federal Reserve
The Federal Reserve is the central bank of the United States—one of the world's most influential, trusted and prestigious financial organizations.
The Federal Reserve currently has
23 open roles
on FindRole.
Listed pay typically runs
$140,000–$196,900
across 11 roles with salary data.
The AI Solutions Engineer - ERP Systems joins the Enterprise Resource Planning Support Office to drive innovation by integrating artificial intelligence across HR, finance, and procurement functions. This role involves deploying and configuring native AI features like intelligent agents and automation within Workday and SAP Ariba platforms while building a Platform-as-a-Service foundation for custom applications. The engineer will translate business challenges into technical solutions, develop deployment pipelines, and manage the integration of RESTful APIs, webhooks, and data flows. Key technologies include Python, SQL, and various cloud environments such as AWS, Azure, or GCP. Candidates must possess expertise in Gen AI, LLMs, and MLOps to build automated workflows. The role focuses on solving complex operational hurdles by establishing scalable cloud capabilities and providing production support for enterprise-wide AI tools and systems.
Translate business challenges into practical AI opportunities and technical solutions.
Deploy and configure native AI features within ERP platforms like Workday and SAP Ariba.
Build custom AI solutions including intelligent agents, chatbots, and automation using Gen AI and LLMs.
Develop deployment pipelines and engineering processes to establish Platform-as-a-Service capabilities.
Integrate platform services, security, and governance with corporate cloud computing systems.
Evaluate vendor AI capabilities versus custom solutions based on requirements and total cost of ownership.
Provide production support and training for deployed AI solutions across the organization.
What we're looking for
Bachelor’s degree in Computer Science, Engineering, or a related field.
10+ years of experience in IT or software engineering within corporate or industry environments.
Proven track record of deploying traditional AI, Gen AI, or agentic AI solutions to production in corporate settings.
3+ years of experience with enterprise cloud platforms like Workday, SAP, Oracle, or Salesforce in a technical or configuration capacity.
Experience with deployment pipelines, CI/CD, or DevOps practices and proficiency in Python.
Strong communication skills to explain complex technical concepts to non-technical stakeholders.
U.S. Citizenship and eligibility for access to classified information.
Hands-on experience with Workday AI, SAP AI capabilities, or similar vendor-embedded AI (preferred); MLOps/DevOps experience; and AI/ML or cloud certifications (preferred).