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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - **Company:** Federal Reserve Bank of Richmond - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $133,000.0 - $183,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, User Authentication, Microsoft Azure, Business Systems, Cloud Computing, Cloud Engineering, Cloud Foundry, Computer Programming, System Configuration, Continuous Integration, Custom Software, DevOps, Infrastructure as a Service (IaaS), Python (Programming Language), Machine Learning, OAuth, Oracle (Applications), Platform as a Service (PAAS), Azure Machine Learning, Salesforce.Com, Security Assertion Markup Language (SAML), SAP (Applications), Software Engineering, SQL Databases, Data Streaming, Google Cloud, Cloud Platform System, Chatbots, Delivery Pipeline, Large Language Models, SAP Business Technology Platform, Information Technology, Deployment Automation, Enterprise Integration, SAP Ariba, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, Elastic Beanstalk, Webhooks, Data Pipelines, Workday - **Published:** June 2, 2026 - **Apply:** https://www.dice.com/job-detail/f44c8a12-198e-4c85-b87f-56d64e39da06 ## About the Role * 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, Google Cloud Platform) and AI/ML services and frameworks * Domain knowledge in HR, finance, or procurement * AI/ML or cloud certifications ## Description 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 ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Destigmatizing the Workplace: Building Real Inclusion](https://www.wearedevelopers.com/videos/1492-destigmatizing-the-workplace-building-real-inclusion) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [The Future of Employee Wellbeing: Benefits, Trust & Performance](https://www.wearedevelopers.com/videos/1808-the-future-of-employee-wellbeing-benefits-trust-performance) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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