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Deployed Jobs in Oklahoma (NOW HIRING)

In this role, you will design, deploy, maintain, and optimize enterprise infrastructure supporting classified mission systems. Working closely with cross-functional teams, you'll help deliver ...

IT Technician (Temporary)

Oklahoma City, OK · On-site

$20 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Image, configure, and deploy desktops and laptops. * Troubleshoot hardware, software, and Windows issues. * Manage IT inventory, asset tracking, and equipment shipments. * Coordinate warranty repairs ...

Linux System Engineer

Oklahoma City, OK · On-site

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

In this role, you will design, deploy, maintain, and optimize enterprise infrastructure supporting classified mission systems. Working closely with cross-functional teams, you'll help deliver ...

Computer Systems Engineer

Oklahoma City, OK · On-site

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

In this role, you will design, deploy, maintain, and optimize enterprise infrastructure supporting classified mission systems. Working closely with cross-functional teams, you'll help deliver ...

In this role, you will design, deploy, maintain, and optimize enterprise infrastructure supporting classified mission systems. Working closely with cross-functional teams, you'll help deliver ...

Cloud Engineer

Oklahoma City, OK · On-site

$87K - $157K/yr

  • Medical

  • Retirement

  • PTO

The Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with a ...

Go-to-Market - Tulsa, OK, USA

Tulsa, OK · On-site

$150K - $200K/yr

About SIMBA Voice Agents by Speechify SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish ...

Duck Creek Application Architect, Manager

Tulsa, OK

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Design, develop, modify, and deploy software using industry standards - Lead teams and manage client accounts - Focus on strategic planning and mentoring junior staff - Confirm ...

Duck Creek Application Architect, Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Design, develop, modify, and deploy software using industry standards - Lead teams and manage client accounts - Focus on strategic planning and mentoring junior staff - Confirm ...

Senior Cloud Engineer

Oklahoma City, OK · Hybrid

$51.75 - $69.25/hr

The Senior Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with ...

Network Architect

Oklahoma City, OK · On-site

$77.60 - $176/hr

  • Medical

  • Life

  • Retirement

  • PTO

You Have * 5+ years of experience designing, deploying, and supporting network and security architectures within DoD hybrid environments, including implementing Zero Trust principles * 2+ years of ...

Senior Cloud Engineer

Oklahoma City, OK · On-site

$107K - $195K/yr

  • Medical

  • Retirement

  • PTO

The Senior Cloud Engineer will deploy, maintain, and scale hybrid cloud digital infrastructure for multiple Air Force customers. This position requires a fast-learning, high-performing candidate with ...

Showing results 21-40

Deployed information

See Oklahoma salary details

$35K

$95.6K

$178.1K

How much do deployed jobs pay per year?

As of Aug 14, 2026, the average yearly pay for deployed in Oklahoma is $95,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,860.00 and $114,823.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in deployed roles, and how can they be effectively managed?

Professionals in deployed roles often encounter challenges such as adapting to unfamiliar environments, managing logistical complexities, and balancing work responsibilities with personal well-being. Effective communication and collaboration with both local teams and headquarters are crucial for overcoming these obstacles. Many organizations provide pre-deployment training and ongoing support to help employees adjust and remain resilient. Building strong relationships on the ground and maintaining open lines of communication can greatly enhance both job performance and satisfaction.

What does deployed mean in a job context?

In a job context, 'deployed' usually refers to an employee or worker who is assigned to a specific location, project, or task, often away from their main office or base of operations. This term is commonly used in industries such as the military, construction, oil and gas, and IT, where employees may be sent to different sites to perform their duties. Being deployed often involves temporary relocation and can sometimes include working in challenging environments. The length and conditions of deployment vary depending on the employer and industry.

What are the key skills and qualifications needed to thrive as a deployed operations specialist, and why are they important?

To thrive as a Deployed Operations Specialist, you need a strong background in logistics, planning, and operational support, often with military or field experience and relevant security clearances. Familiarity with mission planning software, secure communications equipment, and supply chain management systems is typically required. Adaptability, resilience, and effective teamwork are crucial soft skills when working in challenging and dynamic environments. These abilities ensure mission success, safety, and seamless coordination under pressure during deployments.

What is the difference between Deployed vs Software Developer?

AspectDeployedSoftware Developer
CredentialsTypically requires programming knowledge, deployment tools, and sometimes certifications like AWS or AzureRequires programming skills, computer science degree, and certifications like Microsoft or Oracle
Work EnvironmentInvolves deploying applications in live environments, often collaborating with IT and operations teamsFocuses on coding, designing, and developing software applications in office or remote settings
Industry UsageCommon in IT, cloud services, and software companies during deployment phasesUsed across tech, finance, healthcare, and other industries for software creation

Deployed professionals focus on releasing and managing software in live environments, requiring deployment skills and operational knowledge. Software Developers primarily create and develop software applications, emphasizing coding and design. Both roles are essential in the software lifecycle but differ in their core responsibilities and work settings.

What cities in Oklahoma are hiring for Deployed jobs?

Cities in Oklahoma with the most Deployed job openings:

Infographic showing various Deployed job openings in Oklahoma as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $95,569 per year, or $45.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Tulsa, OK • On-site

Other

Re-posted 24 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.