Stratascale
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, bridging the gap between AI technology and client needs.
Responsibilities
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: Consistently uses time effectively, balances multiple tasks, and meets deadlines.
Organization: Effectively coordinates multiple projects, delegates tasks where appropriate, and employs advanced organizational tools and methods.
Skill Level Requirements
Intermediate proficiency in writing, debugging, and maintaining code in Python, R, or Java to support AI initiatives.
Intermediate proficiency in using Word, Excel, PowerPoint, and Outlook to enhance productivity.
Intermediate ability to simplify and 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 mobile device deployment and management for seamless operation and integration.
Experience with installing, configuring, and maintaining Linux‑based operating systems is preferred.
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, weekends, and 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, beneficial when traveling to various client sites.
Relevant certifications in AI, cloud computing (e.g., AWS Certified Machine Learning, PMP), or IT service management are a plus.
Compensation and Benefits The estimated annual pay range for this position is $90,000 – $140,000, which includes a base salary. Compensation depends on job‑related knowledge, skills, experience, and market location. Benefits may include medical, vision, dental, 401(k), and flexible spending. Additional benefits are available to qualifying employees.
Equal Employment Opportunity Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
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Responsibilities
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: Consistently uses time effectively, balances multiple tasks, and meets deadlines.
Organization: Effectively coordinates multiple projects, delegates tasks where appropriate, and employs advanced organizational tools and methods.
Skill Level Requirements
Intermediate proficiency in writing, debugging, and maintaining code in Python, R, or Java to support AI initiatives.
Intermediate proficiency in using Word, Excel, PowerPoint, and Outlook to enhance productivity.
Intermediate ability to simplify and 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 mobile device deployment and management for seamless operation and integration.
Experience with installing, configuring, and maintaining Linux‑based operating systems is preferred.
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, weekends, and 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, beneficial when traveling to various client sites.
Relevant certifications in AI, cloud computing (e.g., AWS Certified Machine Learning, PMP), or IT service management are a plus.
Compensation and Benefits The estimated annual pay range for this position is $90,000 – $140,000, which includes a base salary. Compensation depends on job‑related knowledge, skills, experience, and market location. Benefits may include medical, vision, dental, 401(k), and flexible spending. Additional benefits are available to qualifying employees.
Equal Employment Opportunity Equal Employment Opportunity – M/F/Disability/Protected Veteran Status
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