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Full Time Forward Deployed Engineer Jobs in Arizona

AI Operations Engineer

Scottsdale, AZ · On-site

$70K - $94K/yr

Our culture is forward thinking, customer obsessed and built on the belief that meaningful ... Build and deploy AI-powered applications that accelerate workflows and improve internal velocity ...

AI Operations Engineer

Scottsdale, AZ

$70K - $94K/yr

Our culture is forward thinking, customer obsessed and built on the belief that meaningful ... Build and deploy AI-powered applications that accelerate workflows and improve internal velocity ...

Senior Systems Engineer (ESMS)

Sierra Vista, AZ · On-site

$93K - $127K/yr

Company Description Complete Professional Services (CPS) is a forward thinking women owned small ... and Deployed Forces (DF) environments. In assuming this position, you will be a critical ...

Senior Systems Engineer (ESMS)

Sierra Vista, AZ · On-site

$93K - $127K/yr

Company Description Complete Professional Services (CPS) is a forward thinking women owned small ... and Deployed Forces (DF) environments. In assuming this position, you will be a critical ...

FPGA Engineer

Phoenix, AZ

$129K - $165K/yr

... deployed across commercial, military, and rotorcraft platforms. This work is performed in highly ... Ability to operate independently and determine appropriate technical paths forward with minimal ...

Phoenix, AZ or Omaha, NE (5 Days Onsite) Duraction: Full Time Position Summary HSM Engineer role will be responsible for designing, deploying, configuring, and maintaining Hardware Security Modules ...

Kafka Infrastructure Engineer

Chandler, AZ · On-site

$105K - $138K/yr

Chandler, AZ (ONSITE) Job Type : Full-Time Skill: Kafka Infrastructure Engineer - Compliance-Driven ... deploying and managing Confluent Kafka in internal or external cloud. * Hands-on development ...

GEN AI Engineer II

Phoenix, AZ · On-site

$114K - $137K/yr

... building and deploying AI/ML models, focusing on Generative AI, LangChain and NLP In-depth ... Employment Type: FULL_TIME

Senior Cybersecurity Engineer

Mesa, AZ · On-site

$113K - $155K/yr

Train the security team on newly deployed technologies and act as an escalation point and subject ... We lean into the conversations, decisions and actions that move the business forward, even when ...

Showing results 41-60

Full Time Forward Deployed Engineer information

What is the difference between Full Time Forward Deployed Engineer vs Software Engineer?

AspectFull Time Forward Deployed EngineerSoftware Engineer
CredentialsBachelor's in Computer Science or related field, relevant certificationsBachelor's in Computer Science or related field, relevant certifications
Work EnvironmentOn-site, client-facing, often in field or operational settingsOffice or remote, primarily in development environments
Employer & Industry UsageTech, defense, or enterprise sectors with client deploymentTech companies, startups, software firms

Full Time Forward Deployed Engineers typically work directly with clients in operational settings, requiring on-site presence and deployment skills. Software Engineers focus on development in office or remote environments. While both roles require technical credentials, the FDE role emphasizes deployment, client interaction, and fieldwork, distinguishing it from the primarily development-focused Software Engineer position.

What are the most commonly searched types of Forward Deployed Engineer jobs in Arizona? The most popular types of Forward Deployed Engineer jobs in Arizona are:
What cities in Arizona are hiring for Full Time Forward Deployed Engineer jobs? Cities in Arizona with the most Full Time Forward Deployed Engineer job openings:
Infographic showing various Full Time Forward Deployed Engineer job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution.

Senior Machine Learning Engineer

Prime Solutions Group, Inc.

Goodyear, AZ • On-site

$110K/yr

Full-time

Re-posted 26 days ago


Job description

Job Type
Full-time
Description
Prime Solutions Group (PSG), Inc. is an innovative digital engineering company founded in 2007 and headquartered in Goodyear, AZ. We specialize in advanced sensing, AI/ML, and digital engineering solutions, partnering with many of the nation's leading defense companies to deliver mission-critical technology.
Our work spans the full system lifecycle-from R&D to operational deployment-supporting the Department of Defense, Intelligence Community, and federal partners. At PSG, you'll join a small, agile team where your contributions have a direct impact while working alongside top-tier engineering talent.
Position Overview
Turn machine learning into real-world mission capability.
PSG is seeking a Machine Learning Engineer to design, build, and deploy AI/ML solutions that power mission-critical systems. This role focuses on taking models from concept to production-developing pipelines, integrating models into software systems, and ensuring performance, scalability, and reliability in real-world environments.
You'll work at the intersection of machine learning, software engineering, and DevSecOps, collaborating with cross-functional teams to deliver secure, production-ready AI solutions supporting national security missions.
What You'll Do
  • Design, build, and maintain ML pipelines for data preparation, training, evaluation, and deployment
  • Develop and optimize ML models and applications using Python and frameworks like PyTorch or TensorFlow
  • Integrate models into production systems (APIs, batch pipelines, real-time services)
  • Implement model validation, evaluation metrics, and performance monitoring
  • Improve model accuracy, scalability, and efficiency through tuning and data strategy improvements
  • Collaborate with data engineers and domain experts to prepare and validate datasets
  • Partner with DevSecOps/MLOps teams to deploy ML solutions in secure environments
  • Troubleshoot model and pipeline issues; perform root cause analysis and optimization
  • Contribute to technical documentation, test plans, and operational runbooks
  • Participate in design reviews, architecture discussions, and Agile development processes
  • Mentor junior engineers and promote engineering best practices

Requirements
  • U.S. Citizenship
  • Active Top Secret Clearance (SCI eligibility; CI Poly preferred or ability to obtain)
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field
  • 4+ years of experience in:
    • Machine Learning Engineering
    • Applied AI/ML development
    • Production ML systems
  • Strong Python skills and experience with ML libraries (NumPy, pandas, scikit-learn, PyTorch, TensorFlow)
  • Experience developing, training, and deploying ML models in real-world applications
  • Solid understanding of the ML lifecycle (data ? training ? validation ? deployment ? monitoring)
  • Experience building maintainable, production-quality software
  • Familiarity with Docker and cloud environments (AWS, Azure, or GCP)
  • Experience working in Agile and CI/CD environments
  • Strong problem-solving, communication, and collaboration skills

Preferred Qualifications
  • Master's degree in a related field
  • Experience with computer vision, image/video analytics, or sensor data (e.g., RF, SAR)
  • Experience transitioning models from research to production environments
  • Familiarity with experiment tracking, model versioning, and reproducibility practices
  • Experience with GPU-based ML workflows and cloud ML platforms
  • Background in defense, intelligence, or other regulated environments

Why Join PSG?
At PSG, you're not just taking a job-you're building technology that matters.
  • Competitive compensation & benefits
  • 9/80 flexible work schedule
  • Professional development & tuition assistance
  • Small, agile team with high ownership and visibility
  • Work on mission-critical systems supporting national security
  • Opportunities to grow across AI/ML, software engineering, and platform development

Bring your machine learning expertise to PSG and help deliver the next generation of secure, intelligent, mission-driven systems.
Salary Description
Salary range starts at $110,000 with the potential for higher compensation based on experience, skills, and mission needs.