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Embedded Ai Engineer Jobs in Oklahoma (NOW HIRING)

Oneok, Inc.

AI Analyst

Tulsa, OK · On-site

Collaborates with the Data Steward on the delivery of clean, contextualized data; with the AI Engineer on tooling improvements; and with Forward Deployed Engineers on embedded analytical needs within ...

ONEOK, Inc

AI Analyst

Tulsa, OK · On-site

Collaborates with the Data Steward on the delivery of clean, contextualized data; with the AI Engineer on tooling improvements; and with Forward Deployed Engineers on embedded analytical needs within ...

Zhone Technologies Inc

$130K - $146K/yr

A bachelor's degree in Electrical Engineering or Computer Science * 5+ years of experience ... We do not use Artificial Intelligence (AI) to screen, assess, or select applicants. However, please ...

Centuria

Communications Systems Engineer

Norman, OK · On-site

Strong hands-on experience with Linux (Red Hat / RHEL or Embedded Linux preferred) -- including ... Any experience or coursework involving Machine Learning / LLMs / AI (especially locally-hosted ...

Centuria

Communications Systems Engineer

Norman, OK · On-site

Strong hands-on experience with Linux (Red Hat / RHEL or Embedded Linux preferred) - including ... Any experience or coursework involving Machine Learning / LLMs / AI (especially locally-hosted ...

Deloitte

System Test and Validation Lead

Tulsa, OK · On-site +1

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Tulsa, OK · On-site +1

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Deloitte

System Test and Validation Lead

Tulsa, OK · On-site +1

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... Bachelor's degree in business, information systems, computer science, engineering, or equivalent ...

Speechify

Go-to-Market - Tulsa, OK, USA

Tulsa, OK

$150K - $200K/yr

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Work alongside a team that stays embedded with customers, so you're never selling something that ...

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Showing results 1-20

All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Oklahoma

Embedded Ai Engineer information

See Oklahoma salary details

$64.6K

$141.6K

$160.7K

How much do embedded ai engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for embedded ai engineer in Oklahoma is $141,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $159,700.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Oklahoma? For Embedded Ai Engineer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Oklahoma look for? The top searched job categories for Embedded Ai Engineer jobs in Oklahoma are:
Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Oklahoma as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $141,624 per year, or $68.1 per hour.

AI Analyst

Oneok, Inc.

Tulsa, OK • On-site

Full-time

Re-posted 2 days ago

Job description

#WeAreONEOK - Fortune 500 company. 100+ years in business. Leading midstream service provider. Safety first. Sustainable operations. Environmentally responsible. Employee focused.
JOB SUMMARY
Job Profile Summary/Mission
Support the transition from traditional dashboards and reporting toward AI-enabled analytics. The AI Analyst combines AI tooling with operations domain expertise to provide decision support, automate recurring analytical work, and deliver reliable insight from operational data.
Essential Functions and Core Responsibilities
  • Decision support: Conduct root-cause analysis, benchmarking, and ad-hoc investigations in support of operations stakeholders. Apply AI tooling to reach well-supported conclusions more efficiently than conventional analysis alone.
  • Data ingestion and curation: Load operations data into analytical systems, identify and address anomalies, and enrich records with domain context through AI-assisted workflows.
  • Automation: Automate recurring data preparation, reporting, and analysis tasks. Convert repeated ad-hoc requests into self-service tools.
  • AI tooling application: Apply the AI systems, agents, and templates developed by Operations Analytics to deliver insight at scale. Provide structured feedback to inform ongoing improvements.
  • Prompt and configuration tuning: Refine prompts and agent configurations to optimize recurring analytical workloads for accuracy, cost, and performance.
  • Reporting: Prepare clear, well-supported analytical and technical reports for operations stakeholders that are rigorous enough to inform decisions and accessible enough to act upon.

Education
  • Bachelor's Degree Management Information Systems, Computer Sciences, Accounting, Finance, Business Administration, or other related field with specific job-related experience as follows:

Required Experience
  • Minimum 3 years in an analytical role (e.g., operations analyst, data analyst, process engineer, reliability engineer).
  • Proficient in SQL and Python, including pandas, notebook environments, and current business intelligence tools.
  • Hands-on experience applying LLM-based tools to analytical work beyond general-purpose querying.
  • Operations domain knowledge, including an understanding of the distinction between raw instrument readings and validated operational data.
  • Clear, concise technical writing suited to operations and engineering audiences.

Preferred Experience
  • Direct midstream experience in pipelines, plants, measurement, hydraulics, or integrity.

How We Measure Success
  • Turnaround time on ad-hoc operations analysis requests.
  • Proportion of recurring analyses automated and transitioned to self-service.
  • Quality of curated data delivered to downstream users, measured by user feedback and error rates.
  • Contributions to prompt and agent configuration improvements that benefit shared AI tools across the team.

Team & Collaboration
Primary users and partners are operations teams across ONEOK. Collaborates with the Data Steward on the delivery of clean, contextualized data; with the AI Engineer on tooling improvements; and with Forward Deployed Engineers on embedded analytical needs within strategic teams.
Knowledge, Skills and Abilities
  • Skills in: relational database design including table structures, indexes and primary/foreign key fields.
  • Skills in: use and function of office equipment including computers and applicable software.
  • Skills in: interacting, advising and communicating effectively.
  • Skills in: developing solutions to complicated issues using abstract thinking in new or complex situations.
  • Skills in: managing and prioritizing multiple assignments with competing deadlines.
  • Skills in: reading and interpreting correspondence, reports, production statistics, cost analyses, contracts, accounting statements, income statements, ledgers, manuals and legal documents.
  • Ability to: develop information, conduct meetings and present information to individuals and groups.
  • Ability to: apply math, algebra, statistical and volumetric methods.
  • Ability to: be self-motivated and self-directed.
  • Ability to: influence and facilitate discussions across a wide range of teams and technologies.
  • Ability to: mentor less experienced personnel on complex technologies.

Licenses and Certifications
  • None required

Strength Factor Rating - Physical Demands/Requirements
  • Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time, but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Strength Factor Description - Physical Demands/Requirements
  • Standing: Remaining on one's feet in an upright position at a work station without moving about (Occasionally)
  • Walking: Moving about on foot (Frequently)
  • Sitting: Remaining in a seated position (Constantly)
  • Lifting: Raising or lowering an object from one level to another (includes upward pulling) (Occasionally)
  • Carrying: Transporting an object, usually holding it in the hands or arms, or on the shoulder (Occasionally)
  • Pushing: Exerting force upon an object so that the object moves away from the force (Occasionally)
  • Pulling: Exerting force upon an object so that the object moves toward the force (includes jerking) (Occasionally)
  • Climbing: Ladders, Stairs (Occasionally)
  • Balancing: Maintaining body equilibrium to prevent falling (Occasionally)
  • Stooping: Bending the body downward and forward by bending the spine at the waist (Occasionally)
  • Kneeling: Bending the legs at the knees to come to rest on the knee or knees (Occasionally)
  • Crouching: Bending the body downward and forward by bending the legs and spine (Occasionally)
  • Crawling: Moving about on the hands and arms in any direction (Occasionally)
  • Reaching: Extending hands and arms in any direction (Constantly)
  • Handling: Seizing, holding, grasping, turning or otherwise working with the hand or hands (Manual Dexterity) (Constantly)
  • Fingering: Picking, pinching or otherwise working with the fingers primarily (Finger Dexterity) (Constantly)
  • Feeling: Perceiving such attributes of objects/materials as size, shape, temperature, texture, movement or pulsation by receptors in the skin, particularly those of the finger tips (Constantly)
  • Talking: Expressing or exchanging ideas/information by means of the spoken word (Frequently)
  • Hearing: Perceiving the nature of sound by the ear (Frequently)
  • Tasting/Smelling: (Occasionally)
  • Near Vision: Clarity of vision at 20 inches or less (Constantly)
  • Far Vision: Clarity of vision at 20 feet for more (Frequently)
  • Depth Perception: Three-dimensional vision; ability to judge distances and spatial relationships so as to see objects where and as they actually are (Frequently)
  • Vision: Color - The ability to identify and distinguish colors (Constantly)

Working Conditions/Environment
  • Employee is subject to inside environmental conditions

Working Conditions
  • Well lighted, climate controlled areas (Constantly)
  • Frequent repetitive motion (Constantly)
  • CRT (Computer Monitor(s)) (Constantly)

Travel
  • Travel to other locations required.

Driving
  • Based on assigned tasks, employee may be assigned a company vehicle requiring the applicable driver's license

ONEOK is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, sex, pregnancy, sexual orientation, age, religion, creed, national origin, gender identity, disability, military/veteran status, genetic information or any other categories protected by applicable law.
The job description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of ONEOK.
ONEOK is committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request an accommodation email HRSolutions@ONEOK.com or call 1-855-663-6547.
Expected Salary Range
$92,000.00 - $138,000.00

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