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Associate Ai Engineer Jobs in Texas (NOW HIRING)

Pogue Construction

Associate AI Engineer

Mckinney, TX ยท On-site

The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production ...

Pogue Construction

Associate AI Engineer

Mckinney, TX ยท On-site

The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production ...

Pogue Construction

Associate AI Engineer

Mckinney, TX ยท On-site

$70 - $100/hr

The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production ...

Pogue Construction

Associate AI Engineer

Mckinney, TX ยท On-site

The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production ...

KPMG

Associate, AI Engineer

Dallas, TX ยท On-site

KPMG is currently seeking an Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under the ...

Vericast

AI Engineer III

San Antonio, TX ยท On-site +1

$120K - $140K/yr

Azure AI Engineer Associate (AI-102) * Google Cloud Professional Machine Learning Engineer * NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure) * Databricks ...

Vericast

AI Engineer III

San Antonio, TX

$120K - $140K/yr

Azure AI Engineer Associate (AI-102) * Google Cloud Professional Machine Learning Engineer * NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure) * Databricks ...

KPMG

Senior Associate, AI Engineer

Dallas, TX ยท On-site

$54.75 - $70.50/hr

KPMG is currently seeking a Senior Associate, AI Engineer to join our Advisory Services practice. Responsibilities: * Develop GenAI / LLM applications and integrations using foundational models under ...

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All JobsAssociate Ai Engineer JobsAssociate Ai Engineer Jobs in Texas

Associate Ai Engineer information

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$38.7K

$77K

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How much do associate ai engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for associate ai engineer in Texas is $76,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,000.00 and $88,500.00 per year, depending on experience, location, and employer.

What does an Associate AI Engineer do?

An Associate AI Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers to build machine learning algorithms, preprocess data, and test AI solutions. Their responsibilities often include writing code, evaluating model performance, and collaborating with data scientists and software developers. This entry-level role provides hands-on experience in AI technologies and helps build a foundation for more advanced engineering positions.

What are the key skills and qualifications needed to thrive as an Associate AI Engineer?

To thrive as an Associate AI Engineer, you need a solid understanding of programming (especially Python), mathematics (linear algebra, probability, statistics), and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with cloud platforms such as AWS or Google Cloud are typically required. Strong problem-solving abilities, effective communication, and a willingness to learn new technologies help distinguish top performers in this role. These skills and qualities are essential for successfully developing, implementing, and maintaining AI solutions in a collaborative and rapidly evolving environment.

What are some common challenges an Associate AI Engineer may face when working on real-world machine learning projects?

As an Associate AI Engineer, you may encounter challenges such as handling imperfect or limited datasets, balancing model performance with computational constraints, and integrating AI solutions into existing products. Collaboration with data scientists, software engineers, and product managers is crucial to refine objectives and ensure technical feasibility. Additionally, keeping up with evolving AI frameworks and best practices can be demanding, but it provides valuable learning opportunities and skill growth.

What is the difference between Associate Ai Engineer vs Data Scientist?

AspectAssociate Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentTech companies, startups, R&D teams; focus on AI model developmentResearch labs, tech firms, finance; focus on data analysis and modeling
Employer & Industry UsageAI-focused roles in tech, healthcare, financeData analysis across industries like marketing, finance, healthcare

Associate Ai Engineers typically focus on developing and implementing AI models, often working closely with data and algorithms. Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require programming skills and a background in data or AI, Associate Ai Engineers are more involved in the technical development of AI systems, whereas Data Scientists focus on data analysis and interpretation.

How much do entry level associate AI engineers make?

Entry-level associate AI engineers typically earn between $70,000 and $90,000 annually, depending on location, education, and company size. Starting salaries may also include benefits such as health insurance and opportunities for skill development in machine learning tools and programming languages like Python or TensorFlow.

Is there a demand for associate AI engineers?

There is a strong and growing demand for associate AI engineers as industries increasingly adopt artificial intelligence and machine learning technologies. Entry-level roles often require knowledge of programming languages like Python, familiarity with AI frameworks, and relevant certifications, making it a promising career path for those with technical skills and a background in data science or software development.

What jobs can you get with an associate AI engineer?

An associate AI engineer can qualify for roles such as AI developer, machine learning technician, data analyst, or AI support specialist. These positions typically require knowledge of programming languages like Python, familiarity with AI frameworks, and understanding of data processing. Entry-level roles often involve assisting in developing, testing, and maintaining AI models and systems.

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

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

What cities in Texas are hiring for Associate Ai Engineer jobs?

Cities in Texas with the most Associate Ai Engineer job openings:

Associate Ai Engineer jobs near you
Infographic showing various Associate Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $76,988 per year, or $37 per hour.

Associate AI Engineer

Pogue Construction

Mckinney, TX โ€ข On-site

Full-time

Posted 21 days ago

Job description

POSITION SUMMARY:
The Associate AI Engineer is an early-career builder responsible for moving approved ideas from a governed backlog into reliable, well-documented solutions. Working as part of Pogue's AI production team, this individual develops, tests and supports AI and automation capabilities built on Pogue's Microsoft Fabric data platform, and contributes to the enterprise ontology and knowledge foundation that those solutions depend on.
This is a hands-on development role with structured mentorship. Design review and pairing with Pogue's Principal Solutions Architect are a standing part of the work, and this individual is expected to partner directly with business owners so that what gets built is actually used.
EXPERIENCE & EDUCATION:
0๏ฟฝ3 years' professional experience in software development, data engineering or a related technical role.
Bachelor's degree in computer science, software engineering, information systems, data science or a related field, or commensurate experience.
PRIMARY RESPONSIBILITIES:
AI Solution Development:
  • Develop, test & improve bounded AI and automation capabilities using VS Code, SQL, APIs, Git & Pogue-approved cloud services
  • Support solutions such as permission-aware enterprise search, retrieval-augmented generation (RAG), internal assistants, workflow support & AI-enabled analytics
  • Translate approved backlog items into requirements, technical tasks, acceptance criteria & small releases that can be measured & safely supported
  • Create prototypes when discovery is needed, then help convert validated prototypes into maintainable services & reusable patterns
  • Participate in design review with the Principal Solutions Architect before development begins & carry approved designs through to release

Data & Enterprise Knowledge:
  • Work with Microsoft Fabric lakehouse data, governed Gold business objects, semantic models, metadata & shared business definitions
  • Help connect structured data & approved documents through secure APIs & retrieval patterns while preserving source permissions, citations, versions & effective dates
  • Contribute to Pogue's enterprise ontology & knowledge foundation by documenting objects, relationships, definitions, ownership & authoritative sources
  • Build only on data confirmed as validated in the Gold layer

Quality, Security & Trust:
  • Document architecture, assumptions, decisions, data flows, interfaces, tests, deployment steps & operating runbooks so another team member can understand & support the solution
  • Evaluate accuracy, failure modes, access behavior, latency, cost & usefulness; turn results into clear release recommendations
  • Follow Pogue's identity, role-based access, data-classification, approved-model, logging, monitoring & human-approval requirements
  • Surface uncertainty, security concerns & data-quality issues early; propose practical options instead of hiding risk

Business Partnership & Adoption:
  • Work directly with business owners & subject-matter experts to understand the decision or workflow before selecting a technical approach
  • Explain tradeoffs in plain language, ask focused questions, demonstrate progress & incorporate feedback from technical & nontechnical teammates
  • Support adoption with concise guides, examples, training materials & responsive follow-through after launch
  • Support the AI Champions Network as solutions roll out to project teams

REQUIRED SKILLS
  • Team Player
  • Teachable
  • Curious & self-directed
  • Able to write & troubleshoot code in VS Code
  • Working knowledge of SQL
  • Working understanding of REST APIs, Git-based collaboration, testing & basic cloud concepts
  • Secure handling of credentials & data
  • Able to explain a technical project, the decisions personally made, the tradeoffs & how the result was validated
  • Clear written communication
  • Able to relate to & communicate with a diverse group of professionals
  • Ability to work individually & as part of a team
  • Self-motivated & driven
  • Highly organized & detail oriented
  • Highly analytical thinker
  • Positive Attitude
  • Internal & external customer service
  • Willingness to ask for context when requirements are incomplete
  • Minimum 20 hrs of Continued Education (yearly)

TECHNICAL PROGRAM EXPERIENCE (not required):
  • Microsoft Azure or Fabric, OneLake or lakehouse patterns, Power BI, Azure AI Search, Azure OpenAI or Azure AI Foundry
  • LLM applications, RAG, embeddings, evaluation, prompt or model lifecycle management, agents or workflow automation
  • Coursework or project work in knowledge representation, semantic modeling, enterprise ontologies or knowledge graphs ๏ฟฝ including Prot๏ฟฝg๏ฟฝ, OWL, RDF or SPARQL
  • Metadata, data lineage, document management or construction & project-control systems
  • TypeScript, C# or another modern language
  • CI/CD, containerized services, monitoring, cost management or secure enterprise integration

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