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  • Service Delivery Engineer - AI

    SHI (Piscataway, NJ)



    Apply Now

    About Us

     

    Since 1989, SHI International Corp. has helped organizations change the world through technology. We’ve grown every year since, and today we’re proud to be a $15 billion global provider of IT solutions and services.

     

    Over 17,000 organizations worldwide rely on SHI’s concierge approach to help them solve what’s next.** **But the heartbeat of SHI is our employees – all 6,000 of them.** **If you join our team, you’ll enjoy:

     

    + **Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.**

    + **Continuous professional growth and leadership opportunities.**

    + **Health, wellness, and financial benefits to offer peace of mind to you and your family.**

    + **World-class facilities and the technology you need to thrive – in our offices or yours.**

    Job Summary

    The Service Delivery Engineer - AI will be part of the Integration Data Center Solutions (IDCS) team, responsible for supporting the deployment of OEM-specific AI computing systems (e.g., NVIDIA, Dell, HPE) in customer data centers. They will play a crucial role in ensuring the successful deployment, integration, and operation of AI solutions for clients. The Service Delivery Engineer - AI plays a crucial role in bridging the gap between AI technology and client needs, ensuring that solutions are delivered effectively and efficiently on-site.

     

    The Service Delivery Engineer - AI will report to the SHI Data Center Factory in Piscataway, NJ, when they are not traveling and on-site for customer deployments.

    Role Description

    + Oversee the deployment and integration of AI solutions, ensuring alignment with client requirements.

    + Collaborate with clients to gather needs and deliver tailored technical expertise throughout project phases.

    + Troubleshoot and resolve technical issues during AI solution implementation in coordination with relevant teams.

    + Manage project timelines, deliverables, and resources to ensure timely and successful outcomes.

    + Conduct training sessions for clients, explaining complex AI and machine learning concepts in accessible terms.

    + Document technical processes and provide feedback to enhance AI service offerings and internal best practices.

    + Work closely with product development teams to relay client feedback and drive continuous product improvements.

    + Travel to client locations as needed to deliver hands-on support and professional services.

    + Utilize advanced knowledge of AI/ML frameworks, data analysis tools, and programming languages to support solutions.

    + Maintain a strong customer service focus, ensuring effective communication and high satisfaction throughout project lifecycles.

    Behaviors and Competencies

    + Initiative: Can proactively seek out challenges, initiate projects, and contribute to innovative ideas.

    + Critical Thinking: Can apply critical thinking skills to complex problems, identifying logical and illogical reasoning, and making strategic decisions.

    + Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.

    + Teamwork: Can lead a team effectively, facilitating cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.

    + Self-Motivation: Can proactively seek out challenges, initiate self-development projects, and contribute to personal or professional innovative ideas.

    + Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.

    + Technical Troubleshooting: Can proactively seek out potential technical problems, initiate preventive measures, and contribute to innovative solutions.

    + Documentation: Can develop comprehensive documentation standards, implement best practices, and ensure documentation supports operational efficiency.

    + Time-Management: Can consistently use time effectively, balance multiple tasks, and meet deadlines.

    + Organization: Can effectively coordinate multiple projects, delegate tasks where appropriate, and employ advanced organizational tools and methods.

    Skill Level Requirements

    + The ability to write, debug, and maintain code in programming languages such as Python, R, or Java to support AI initiatives – Intermediate

    + The ability to effectively utilize applications like Word, Excel, PowerPoint, and Outlook to enhance productivity and perform various tasks efficiently. - Intermediate

    + Ability to simplify and effectively communicate complex problems to stakeholders across various functions and levels. - Intermediate

    + Expertise in installing, maintaining, and troubleshooting BIOS firmware and device drivers to ensure system functionality and performance. - Intermediate

    + Understanding of deploying and managing mobile devices to ensure seamless operation and integration within an organization preferred - Intermediate

    + Experience with installing, configuring, and maintaining Linux-based operating systems preferred - Intermediate

    Other Requirements

    + A bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

    + Experience in AI and machine learning, including developing, deploying, and maintaining AI solutions.

    + Experience working on projects that require integration with client systems and infrastructure.

    + Proficiency in programming languages such as Python, R, or Java.

    + Experience with AI/ML frameworks and tools like TensorFlow, PyTorch, or Scikit-learn.

    + Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI solutions in cloud environments.

    + Willingness to travel extensively and work onsite as needed.

    + Ability to work flexible hours

    + Ability to work weekends

    + Ability to move or lift up to 50 lbs

    Preferred:

    + Previous experience in a client-facing technical role, preferably in AI or IT service delivery.

    + Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.

    + Understanding of networking principles and security best practices relevant to deploying AI solutions.

    + Ability to quickly adapt to different environments and client requirements.

    + Experience working with diverse teams and understanding of cultural differences, which can be beneficial when traveling to various client sites.

    + Relevant certifications in AI, cloud computing, (e.g., AWS Certified Machine Learning, PMP) or IT service management can be an added advantage.

     

    The estimated annual pay range for this position is $90,000 - $140,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

     

    Equal Employment Opportunity – M/F/Disability/Protected Veteran Status

     


    Apply Now



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