SAP AI Engineering Architect

Diverse Lynx, LLC

  • Seattle, WA
  • 7 days ago
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    Skills

    • Analytics Cloudunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Architectureunmatched
    • Business Practicesunmatched
    • Business Processesunmatched
    • Business Servicesunmatched
    • Business Transformationunmatched
    • Cloud Computingunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Ecosystemsunmatched
    • Emerging Technologyunmatched
    • Enterprise Protectionunmatched
    • HTML (HyperText Markup Language)unmatched
    • Information/Data Security (InfoSec)unmatched
    • Javaunmatched
    • JavaScriptunmatched
    • Legalunmatched
    • Loan Fundingunmatched
    • MCP - Microsoft Certified Professionalunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Microservicesunmatched
    • Operational Strategyunmatched
    • Predictive Modelingunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • SAPunmatched
    • Security Architectureunmatched
    • Software Developmentunmatched
    • Student Loansunmatched
    • Technical Leadershipunmatched

    Description

    Job Description

    Must Have Technical/Functional Skills

    • Deep expertise in SAP architecture, SAP Business Technology Platform, and AI-driven solution design.
    • Hands-on proficiency with SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and SAP Extension Suite.
    • Strong understanding of machine learning frameworks such as TensorFlow and PyTorch, and programming experience in Python and Java.
    • Experience designing secure, scalable, high-performing AI-powered applications and extensions on SAP BTP.
    • Knowledge of SAP HANA Cloud, SAP Data Intelligence, SAP Analytics Cloud, vector engines, knowledge graphs, A2A, and MCP technologies.
    • Experience with APIs, microservices, data orchestration, analytics, and machine learning model deployment across SAP and non-SAP landscapes.
    • Understanding of SAP S/4HANA integration, SAP Fiori application development, JavaScript, HTML, Fiori Web Components, and API consumption.
    • Strong knowledge of data governance, security best practices, Generative AI, prompt engineering, and AI-powered business transformation.

    Roles & Responsibilities

    • Lead the design, development, and implementation of AI-driven solutions within SAP ecosystems.
    • Architect and implement AI solutions within SAP systems to enhance business processes, decision-making, automation, and operational efficiency.
    • Design and deploy scalable, secure, and high-performing AI-powered applications on SAP BTP.
    • Use SAP Generative AI Hub, SAP AI Core, SAP AI Business Services, SAP Integration Suite, and related BTP services to build innovative enterprise solutions.
    • Develop and manage APIs and microservices using SAP BTP tools to enable seamless integration across SAP and non-SAP systems.
    • Leverage SAP BTP capabilities for data orchestration, analytics, AI/ML model deployment, predictive insights, and real-time decision-making.
    • Collaborate with business, functional, data, security, and engineering teams to identify AI integration and automation opportunities across SAP landscapes.
    • Ensure solutions comply with data governance, enterprise security standards, architecture principles, and SAP best practices.
    • Provide technical leadership, solution guidance, and mentorship to development teams.
    • Stay current with emerging AI technologies, SAP BTP advancements, Generative AI patterns, and industry best practices to drive innovation.

    Generic Managerial Skills, If any

    • Provide technical leadership and mentorship to SAP, AI, and integration development teams.
    • Collaborate effectively with cross-functional business, architecture, security, data, and engineering stakeholders.
    • Translate business challenges into practi cal SAP BTP and AI-enabled solution designs.
    • Communicate solution approach, technical risks, architecture decisions, and delivery status clearly to technical and management audiences.
    • Demonstrate strong problem-solving skills, business process acumen, innovation mindset, and ownership of delivery outcomes.

    Client Employee Benefits Summary:

    Discretionary Annual Incentive.

    Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

    Family Support: Maternal & Parental Leaves.

    Insurance Options: Auto & Home Insurance, Identity Theft Protection.

    Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

    Time Off: Vacation, Time Off, Sick Leave & Holidays.

    Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

    Numbers & Facts

    LocationSeattle, WA

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