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Ai Implementation Jobs in Texas (NOW HIRING)

Apple

GBS Ops Global Compliance Lead

Austin, TX · On-site

$155K/yr

AI Implementation for Process Optimization: Requires the ability to identify inefficient processes and/or insufficient controls that can be improved by automation and AI. AI Risk Management:

Cymertek

AI/ML Engineer

San Antonio, TX · On-site

Experience in edge AI implementation * Expertise in natural language processing * Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to CYMERTEK - And design ...

Cymertek Corporation

AI/ML Engineer

San Antonio, TX · On-site

$90 - $150/hr

Experience in edge AI implementation * Expertise in natural language processing * Proficiency in computer vision techniques * Understanding of emerging AI/ML trends PLUG IN to CYMERTEK - And design ...

Orion Innovation

IT Implementation Analyst

Frisco, TX · On-site

Use AI to generate reusable templates, implementation artifacts, test scenarios, training materials, and migration mappings. Partner with Product, Engineering, Implementation, Operations, and client ...

Karbon

Implementation Specialist

Dallas, TX · Remote

About Karbon Karbon is the global leader in AI-powered practice management software for accounting ... As an Implementation Specialist, you will lead customers through onboarding, data migration ...

Orion Innovation

IT Implementation Analyst

Frisco, TX · On-site

This role combines business analysis, banking operations knowledge, source teller platform analysis, and AI-enabled tooling to reduce implementation effort, improve deployment quality, and accelerate ...

Dealpath

Implementation Manager

Austin, TX · On-site

As an Implementation Manager you will play a critical role in collecting and analyzing new customer ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

Calpion/Plutus Health

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Implement memory, planning, and reasoning frameworks for AI agents * Collaborate with product and clinical teams to translate workflows into AI-driven solutions * Optimize models for accuracy ...

Plutus Health

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Implement memory, planning, and reasoning frameworks for AI agents * Collaborate with product and clinical teams to translate workflows into AI-driven solutions * Optimize models for accuracy ...

Calpion/Plutus Health

Agentic AI Developer

Addison, TX · On-site

$100K - $117K/yr

Implement memory, planning, and reasoning frameworks for AI agents * Collaborate with product and clinical teams to translate workflows into AI-driven solutions * Optimize models for accuracy ...

E Logic

Senior Consultant

Harlingen, TX · On-site

$100K/yr

Support AI and automation strategy implementation, including workflow automation, intelligent routing, summarization tools, and generative AI solutions. * Facilitate executive presentations ...

Dealpath

Implementation Manager

Austin, TX

As an Implementation Manager you will play a critical role in collecting and analyzing new customer ... Dealpath is the world's largest and most trusted AI-powered operating system for real estate ...

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Ai Implementation information

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of machine learning, programming languages like Python, and AI frameworks such as TensorFlow or PyTorch. Gaining experience through internships, certifications, or projects involving AI deployment is also valuable. Continuous learning and staying updated on AI tools and industry trends are essential for success in this role.

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the most commonly searched types of Ai Implementation jobs in Texas?

The most popular types of Ai Implementation jobs in Texas are:

What are popular job titles related to Ai Implementation jobs in Texas?

For Ai Implementation jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Ai Implementation jobs in Texas look for?

The top searched job categories for Ai Implementation jobs in Texas are:

What cities in Texas are hiring for Ai Implementation jobs?

Cities in Texas with the most Ai Implementation job openings:

Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Operations Analyst

Industrial Electric Manufacturing

Austin, TX • On-site

$106K - $132K/yr

Full-time

Re-posted 14 days ago

Job description

At IEM, we're not just building innovative electrical distribution systems, we're shaping the future. IEM is dedicated to delivering world-class solutions for complex power needs. After 75 years, we continue to push the boundaries of what's possible. Whether you're an experienced professional or just starting out, you'll have the opportunity to contribute, grow, and make a lasting impact on industries that power the world's most dynamic markets.
Location: Austin, TX - USA
Reports To: VP, Enterprise AI & Automation
Salary Range: $106,000 - 132,000
Position Summary
IEM is seeking a driven AI Operations Analyst to turn practical AI opportunities into working solutions. You will be the entry point for new AI ideas, guide the promising ones through prototyping, and help employees adopt what gets built.
You will also own the enablement work behind those tools: access, licenses, onboarding and offboarding. Success means learning that work, then simplifying or automating it.
We want someone who sees how a business process actually works and instinctively looks for a better way to run it, whether that is an AI model, an agent, a workflow automation, an API integration, or a small custom application. You do not need to be a senior software engineer, but you should learn fast and enjoy building.
This is a visible, hands-on role for someone already experimenting with these tools who wants to shape how a growing enterprise adopts AI.
This role requires a work sample. Applications submitted without one will not be reviewed - see "How to Apply" below.
Key Responsibilities
The first three areas are the core of the role and the primary basis for evaluating performance.
  • Process Discovery: Partner with teams across IEM to find manual, repetitive, or error-prone work, and determine whether AI, automation, integration, or process redesign is the right fix.
  • Solution Development: Design, build, test, and deploy practical solutions using AI tools, workflow automation, agents, and APIs, then maintain and improve them after launch.
  • Measurement & Continuous Improvement: Define success measures such as time saved, errors reduced, and adoption, then improve, expand, or retire solutions based on what they demonstrably deliver.
  • AI Project Intake & Prioritization: Serve as the entry point for new AI requests, separating genuine business needs from interest in a particular tool, and prioritize what moves forward.
  • AI Literacy, Training & Enablement: Deliver onboarding, workshops, and training that build real proficiency with approved AI tools, and help employees build their own automations.
  • AI Platform Operations: Run day-to-day administration of IEM's AI platforms, and keep procedures, FAQs, and adoption reporting current.
  • Access & License Management: Manage access requests and approvals, provision and reclaim licenses, and flag underused or overallocated seats.
  • Governance & Compliance: Confirm that AI tools, user access, and deployed solutions meet IEM's AI governance and data security standards, and escalate exceptions.
Qualifications Required
  • AI Mindset: You always invite AI to the table as a thinking partner-experimenting broadly while keeping human judgment in the lead.
  • Proven AI Implementation: You've put an AI solution into real use inside an organization-one others relied on-while navigating stakeholder needs, budget limits, and security requirements.
  • Practical Technical Judgment: You know when AI is not the right tool, and can weigh accuracy, cost, privacy, security, and how much human oversight a solution needs.
  • AI & Automation Tool Fluency: You have hands-on knowledge of generative AI tools, automation platforms, APIs, and business-system integrations-and can quickly learn new ones.
  • Relevant Experience: You've worked in operations, process improvement, automation, or IT. What you've built matters more than years served.
  • Organization & Follow-Through: You prioritize competing work, document it, and finish it.
  • Communication & Enablement: You explain technical concepts plainly to non-technical colleagues.
Preferred Skills & Experience
  • Track record as the go-to AI or automation resource on a team.
  • Requirements gathering, process mapping, or change management support.
  • Python, TypeScript, low-code automation, AI agents, APIs, or system integrations.
  • Reporting or operational data analysis with Excel, SQL, or similar tools.
  • Experience in manufacturing or other environments where employees are not desk-based.
  • Coursework or certifications in AI or project management; applied work weighs more.
General Competencies
  • Bias Toward Action: Builds the small version and shows it instead of scheduling a meeting.
  • Business Impact Orientation: Prioritizes measurable gains in productivity, quality, or cost.
  • User-Centered Communication: Listens well, asks good questions, treats people with respect.
  • Problem-Solving & Adaptability: Troubleshoots methodically, escalates early, learns fast.
  • Operational Discipline: Documents accurately, tracks details, finishes what is started.
Job Location
  • Position is located in Austin, TX, and is primarily in-person.
  • Some travel is required to IEM facilities or for project kickoffs.
  • Interviews are conducted in person in Austin.
Compensation & Benefits
  • Competitive salary and benefits package commensurate with experience.
  • Meaningful ownership of solutions with visible, measurable business impact.
  • Exposure to teams, workflows, and challenges across the organization.
  • Direct mentorship from senior AI and technical staff.
  • Opportunities to experiment, build, and grow into more advanced AI, automation, or engineering roles.
  • Professional development, training resources, and hands-on access to enterprise AI tools and platforms.
How to Apply
Submit your resume and a work sample. Applications without a work sample will not be reviewed.
A work sample is anything that lets us see what you built and how you think. The options below are listed in order of preference:
  1. A link to a repository, live tool, or published project.
  2. A short screen recording-roughly five minutes-showing something you built and explaining your decisions. It does not need to be polished.
  3. A brief written case study of an AI or automation solution you implemented: the problem, your role, what you built, the constraints you navigated, and what changed.

Submit work you personally scoped and built. If it was part of a team effort, clearly explain what you owned. Samples demonstrating independent ownership and execution will carry the most weight.
We value independent judgment; a small solution you built yourself is more useful than a course project, tutorial, or forked repository.
If your strongest work is confidential or proprietary, submit a sanitized reconstruction or short case study. Do not disclose confidential information or provide access to a current or former employer's systems.
We would rather see something rough and real than polished and generic.
Why Join IEM
At IEM, you'll join a team that powers some of the world's most ambitious projects. We're engineers, makers, and problem-solvers who thrive on tackling complex challenges and delivering solutions that keep industries moving forward. If you're driven, collaborative, and ready to make an impact, we'd love to hear from you. Your creativity and passion can help us achieve great things-come be part of the journey.
Learn more about IEM at https://www.iemfg.com
We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success. View a snapshot of our benefits at https://www.iemfg.com/careers
Recruiting Scams
Beware of recruiting scams. IEM never charges candidates fees, and all recruiter emails come from an @iemfg.com address. If you suspect fraudulent activity, do not share personal information and report it to us at iemfg.com/contact
Non-Discrimination Statement
IEM does not discriminate against any applicant based on any characteristic protected by law.
Privacy
Information collected and processed as part of your IEM Careers profile, and any job applications you choose to submit is subject to IEM's Workforce Member Privacy Policy.

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