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Entry Level Deployment Jobs (NOW HIRING)

Position Overview The Data Center Deployment Technician I is an entry-level role ideal for candidates with 0-1 year of experience looking to start a career in data centers. This position is primarily ...

Onsite Experience Level: Entry Level Overview We are seeking two PC Deployment Technicians to support a large-scale enterprise PC refresh project. This position will be responsible for preparing ...

Onsite Experience Level: Entry Level Overview We are seeking two PC Deployment Technicians to support a large-scale enterprise PC refresh project. This position will be responsible for preparing ...

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Entry Level Deployment information

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$27K

$61.1K

$101.5K

How much do entry level deployment jobs pay per year?

As of Sep 1, 2026, the average yearly pay for entry level deployment in the United States is $61,070.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $69,500.00 per year, depending on experience, location, and employer.

What is an entry level deployment?

An entry level deployment job typically involves assisting with the installation, configuration, and rollout of software, hardware, or systems within an organization. People in these roles often support senior technicians, follow deployment plans, and ensure that all components are set up correctly. These positions are ideal for those new to IT or project implementation, offering hands-on experience and opportunities to learn industry-standard processes. Attention to detail, good communication, and problem-solving skills are important for success in this role.

What are the typical responsibilities of an entry level deployment specialist during a deployment project?

As an Entry Level Deployment specialist, your main responsibilities include preparing, installing, and configuring hardware or software solutions at client sites or remotely. You will often work closely with senior team members to ensure deployments run smoothly, assist with troubleshooting any technical issues that arise, and document each step of the deployment process. Strong communication skills are important, as you may collaborate with IT teams, clients, and vendors to coordinate schedules and address questions. Over time, you’ll gain exposure to more complex tasks and larger projects, helping you build a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive as an entry level deployment specialist, and why are they important?

To thrive as an Entry Level Deployment Specialist, you need a basic understanding of IT systems, troubleshooting, and hardware/software installation, typically supported by a relevant associate degree or technical certification. Familiarity with deployment tools such as Microsoft System Center Configuration Manager (SCCM) or imaging software is commonly required. Strong attention to detail, problem-solving abilities, and effective communication help you stand out in this role. These skills are crucial for ensuring smooth technology rollouts, minimizing downtime, and supporting end-users effectively.

What is the difference between Entry Level Deployment vs Entry Level Network Technician?

AspectEntry Level DeploymentEntry Level Network Technician
Required CredentialsBasic IT certifications (e.g., CompTIA A+), some technical trainingSimilar certifications, often including CompTIA Network+ or Cisco CCNA
Work EnvironmentOn-site deployment, hardware setup, and configurationOn-site or remote troubleshooting, network setup, and maintenance
Employer & Industry UsageTelecommunications, IT services, hardware providersIT departments, internet service providers, tech companies

Entry Level Deployment and Entry Level Network Technician roles share similar certifications and work environments, focusing on technical setup and support. Deployment roles emphasize hardware installation and physical setup, while Network Technicians focus more on network troubleshooting and maintenance. Both are common entry points in the IT and telecommunications industries, often overlapping in skills and employer expectations.

What are the most commonly searched types of Deployment jobs?

The most popular types of Deployment jobs are:

What job categories do people searching Entry Level Deployment jobs look for?

The top searched job categories for Entry Level Deployment jobs are:

Infographic showing various Entry Level Deployment job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $61,070 per year, or $29.4 per hour.

Software Engineer/AI/Machine Vision (Entry Level) -- Deployment & Applications Engineering

Encore Automation

Auburn Hills, MI • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

AI/Software Engineer (Entry Level) -- Deployment & Applications Engineering

Encore Automation | Auburn Hills, MI (On-site) | Full-Time


Travel: Occasional travel to automotive manufacturing plants required, including occasional weekend travel


About Encore Automation

Encore Automation designs and deploys AI-powered computer vision and automation systems for automotive manufacturing environments, with a core division focused on paint defect detection and repair. Our systems runs in production on the plant floor, supporting automated defect inspection, robotic repair processes, and quality automation for major automotive manufacturers across the United States. We're looking for someone who wants to see their AI models actually running on a factory floor, not just in a notebook.


The Role

We're hiring an entry-level AI/Software Engineer to join our deployment and support team. This role is built around keeping deployed AI systems running reliably in the field, not primarily building new software from scratch. You'll be the engineer plants call on when the system pipeline needs troubleshooting on the line.

This is a hands-on, travel role. You should be energized by the idea of flying or driving out to a plant on short notice, working directly with operators and engineers on-site, and being the person who makes sure the system is actually working when it matters.


What You'll Do

• Travel to automotive manufacturing plants across the United States to install, calibrate, troubleshoot, and support deployed AI vision systems for paint defect detection and repair (object detection, classification, and segmentation models)


• Provide on-site technical support during commissioning, ramp-up, and ongoing production runs — including responding to urgent plant issues that may require travel outside standard business hours or over a weekend


• Diagnose and resolve issues in deployed models, cameras, PLC/robot integrations, and supporting software with speed and precision


• Perform model fine-tuning, retraining, and validation in response to real-world plant conditions (lighting changes, new parts, new fixtures, etc.)


• Maintain, code and extend existing Python and C# codebases that support inference pipelines, GUIs, and plant-floor integrations


• Document fixes, root causes, and recurring issues to improve system reliability over time


• Collaborate closely with the engineering team in Auburn Hills between travel assignments to prepare deployments and improve support tooling


• Build strong working relationships with plant personnel to make on-site support smooth and efficient

What You Bring


• B.S. in Computer Science, Software Engineering, Electrical Engineering, or a related field (new grads welcome and encouraged to apply)


• Proficiency in C# and Python — C# for our production codebase, which you'll read, debug, and extend daily. Python is used for model development, fine-tuning, and validation.


• Coursework or project experience with AI/Machine Learning, including hands-on work developing or training models for classification, object detection, and/or segmentation


• Comfort working with real-world, messy data and adapting models to production conditions rather than clean benchmark datasets


• Strong troubleshooting instincts, comfortable diagnosing problems under time pressure, sometimes with limited on-site resources


• Ability to work in-person at our Auburn Hills office


• Strong communication skills — you'll be representing Encore Automation directly to plant personnel


Preferred Qualifications

• Local to the Metro Detroit area, available to be in our Auburn Hills, MI office


• Experience with computer vision frameworks (e.g., PyTorch, OpenCV, YOLO-family models, ONNX)


• Hands-on experience with vision camera hardware and core imaging concepts — depth of field, motion blur, pixel-to-millimeter conversion, and gain/exposure/aperture settings, along with familiarity with lens selection and lighting techniques (e.g., diffuse, backlighting, dark-field) used in machine vision applications


• Familiarity with agentic coding assistants and related tooling — e.g., Claude Code, MCP (Model Context Protocol), ACP, or similar — is a plus


• Familiarity with industrial/manufacturing environments, PLCs, or robotics is a plus but not required


What Makes This Role Different

This isn't a purely R&D or greenfield-development role. The emphasis is on support, reliability, and maintenance of AI & Software systems already running in production — troubleshooting real issues on real plant floors, keeping systems accurate as conditions change, and being a dependable presence when plants need help. If you want to see your work matter on day one, in a real factory, this is that role.