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AI Implementation Support Engineer jobs in United States
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SAP Taulia · 12 hours ago

AI Implementation Support Engineer

Taulia is a fintech company that is part of the SAP group, helping businesses access cash and improve their supply chains. They are seeking an AI Implementation Support Engineer to integrate AI into workflows and support IT operations, ensuring effective use of AI tools and collaboration with the AI Center of Excellence.
Financial Services

Responsibilities

CoE Partnership: Partner closely with the AI CoE leadership, Program Managers, and Solutions Architects to ensure the smooth rollout and support of new AI agents and complex workflows
Technical Feasibility: Assist the CoE during opportunity audits and requirements gathering by providing technical feasibility assessments for proposed AI use cases
Feedback Loop: Act as the primary bridge between end-users and the CoE, synthesizing support ticket data, user issues, and feature requests to inform the CoE's roadmap and prioritization
Data Quality Liaison: Collaborate with the AI Data Engineer to identify, report, and troubleshoot data access or quality issues that impact the performance of AI tools and agents
Policy Enforcement: Serve as the primary operational check for the Employee AI Technology Use and Data Sharing Policy, ensuring employees understand the distinction between "Approved" and "Public" AI tools and the associated data handling rules (Restricted, Sensitive, vs. Unrestricted data)
Connection Governance: Manage the intake and initial review of AI Agent (e.g. MCP) connection requests, ensuring that business justifications and data classifications are documented before escalating to the Security team for final approval
Access Control: Manage user provisioning and access rights for the "Approved AI Tool List," strictly to the Principle of Least Privilege to prevent unauthorized data exposure
Responsible AI Advocacy: Embed governance principles into all support interactions, reinforcing the mandatory "Human Review" requirement for AI-generated content and flagging high-risk use cases to the CoE
Facilitating the successful implementation and adoption of approved AI tools within daily work processes and workflows (e.g., integrating an AI-powered document analysis tool to automate contract review in legal, or a generative AI assistant for content creation in marketing)
Acting as the primary support for AI-related questions and technical issues, troubleshooting, and resolving advanced challenges
Maintaining up-to-date knowledge of all approved AI tools and platforms, specifically those relevant to Taulia and SAP environments
Conducting ongoing research into new and emerging AI technologies and tools, assessing their potential value and compatibility for organizational use
Feature Release Management: Track, test, and plan the rollout of new features from AI vendors (e.g., Glean, approved LLMs), ensuring the organization is prepared for updates
Creating documentation and best practices guides to facilitate self-service AI adoption
Developing and delivering comprehensive training programs and workshops to educate employees on the effective and responsible use of AI tools
Monitor and resolve tickets in the IT Service Desk (Jira) queue within defined SLAs, ensuring timely support for internal employees
Provide Tier 1 and Tier 2 support for company-issued hardware (macOS and Windows laptops), peripherals, and core software applications (Google Workspace, Slack, Zoom, etc.)
Assist with user lifecycle management, including onboarding new hires, processing offboarding requests, and managing access to systems via Okta and Active Directory
Troubleshoot basic network connectivity issues (VPN, Wi-Fi) and assist with general system administration tasks as needed to support global operations

Qualification

Generative AIAI tools implementationIT service managementTechnical troubleshootingData privacy standardsAnalytical skillsBusiness analysisCommunication skillsProblem-solving skillsCollaboration skills

Required

Proven experience (5+ years) in IT, software development, or a technical consulting role, with a strong focus on Generative AI, LLMs, and Agentic Workflows (e.g., RAG, prompt engineering, tool calling) rather than traditional academic Machine Learning
Sales Engineer Mindset: Demonstrated ability to act as a 'Solutions Consultant' for internal teams—gathering requirements, building rapid proofs-of-concept (POCs), and providing compelling demos and user education
IT Support Experience: Demonstrated experience with IT service management (ITSM) tools (e.g., Jira Service Management) and a strong understanding of IT support processes (incident management, request fulfillment)
Security & Governance Awareness: Familiarity with enterprise data privacy standards (e.g., GDPR, SOC2) and experience working within defined security policies, particularly regarding data classification and access control
Technical Troubleshooting: Solid hands-on experience troubleshooting macOS and Windows environments, SaaS applications (Google Workspace, Okta, Slack), and basic networking concepts
Hands-on experience with AI tools and platforms, particularly those relevant to enterprise systems like Taulia and SAP (Glean, n8n, MCP are pluses)
Experience in project management or leading technical initiatives is a plus
Strong understanding of AI/ML concepts and practical applications, with expertise in effective prompting and interaction with AI models
Strong analytical and problem-solving skills, with the ability to diagnose and resolve both complex AI technical issues and standard IT support requests
Excellent communication, interpersonal, and presentation skills, with the ability to translate complex technical concepts into understandable terms for diverse audiences
Demonstrated experience in business analysis, including requirements elicitation, process mapping, and stakeholder management
Ability to work independently and collaboratively in a fast-paced, evolving environment

Company

SAP Taulia

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SAP Taulia, a global fintech leader, delivers AI-powered working capital solutions that unlock liquidity and drive supply chain resilience.

Funding

Current Stage
Late Stage
Company data provided by crunchbase