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Ai Engineer Jobs in Spring, TX (NOW HIRING)

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Forward Deployed AI Engineer Location: Houston, TX - Fully Onsite Compensation: $75.00 - $120.00 / Per Hour Employment Type: Long term contract Benefits: This position is eligible for medical, dental ...

Addison Group

Forward Deployed AI Engineer

Houston, TX · On-site

$75 - $120/hr

Forward Deployed AI Engineer Location: Houston, TX - Fully Onsite Compensation: $75.00 - $120.00 / Per Hour Employment Type: Long term contract Benefits: This position is eligible for medical, dental ...

circa

AI Engineer III

Houston, TX

Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI Engineer III is responsible for collaborating with data engineering, business intelligence, and ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI Engineer III is responsible for collaborating with data engineering, business intelligence, and ...

CGI

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

CGI is seeking a hands on Data & AI Engineer with strong experience in modern cloud data platforms, particularly Databricks and Snowflake, as well as Python and SQL development. The ideal candidate ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$125 - $150/hr

Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI Engineer III is responsible for collaborating with data engineering, business intelligence, and ...

Accenture

Responsible AI Engineer

Houston, TX · On-site

As a Responsible AI Engineer, you'll be experienced in building state of the art AI systems to solve difficult business challenges. But you'll also have at least a year's experience looking at ...

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX · On-site

$99K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

SM-Energy Company

Senior AI Engineer - AAET

Houston, TX · On-site

$180K - $220K/yr

SM Energy is seeking a Senior AI Engineer to take promising AI capabilities from prototype to production. This individual contributor role sits in a small, two-person R&D pod within our Advanced ...

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Showing results 21-40

All JobsAi Engineer JobsAi Engineer Jobs in Spring, TX

Ai Engineer information

See Spring, TX salary details

$35.9K

$93.7K

$126.6K

How much do ai engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for ai engineer in Spring, TX is $93,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,300.00 and $107,300.00 per year, depending on experience, location, and employer.

What does an AI engineer do?

An AI Engineer develops, implements, and optimizes artificial intelligence models and algorithms to solve complex problems. They work with machine learning frameworks, data pipelines, and large datasets to deploy AI-driven solutions. Their responsibilities often include programming, data preprocessing, model training, and integrating AI into applications. AI Engineers collaborate with data scientists and software engineers to build intelligent systems for businesses across various industries.

What are some common challenges faced by AI engineers in their day-to-day work?

AI Engineers often encounter challenges such as handling large and complex datasets, optimizing and debugging machine learning models, and ensuring their algorithms scale efficiently in production environments. Balancing innovation with real-world constraints—such as limited computational resources or data privacy concerns—is also a frequent aspect of the role. Additionally, working closely with data scientists, software developers, and stakeholders requires clear communication and adaptability. These challenges make the role dynamic and offer many opportunities for learning and professional growth.

What are the key skills and qualifications needed to thrive in the AI engineer position, and why are they important?

To thrive as an AI Engineer, you need a strong background in computer science, mathematics, and machine learning, usually backed by a relevant degree or equivalent experience. Proficiency with programming languages such as Python, TensorFlow, PyTorch, and tools like cloud platforms or version control systems is essential. Strong problem-solving abilities, effective communication, and a collaborative mindset are key soft skills for working in interdisciplinary teams. These competencies enable AI Engineers to design, develop, and deploy effective AI solutions that drive business and technological innovation.

What are the jobs of an AI engineer?

An AI engineer develops, tests, and implements artificial intelligence models and algorithms to solve complex problems. They work with machine learning, deep learning, and data analysis tools, often programming in languages like Python or TensorFlow. Their responsibilities include designing AI systems, optimizing performance, and ensuring integration with existing software infrastructure.

What are the most commonly searched types of Ai Engineer jobs in Spring, TX?

The most popular types of Ai Engineer jobs in Spring, TX are:

What job categories do people searching Ai Engineer jobs in Spring, TX look for?

The top searched job categories for Ai Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Ai Engineer jobs?

Cities near Spring, TX with the most Ai Engineer job openings:

Ai Engineer jobs near you
Infographic showing various Ai Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $93,692 per year, or $45 per hour.

Forward Deployed AI Engineer

Houston, TX • On-site

Addison Group
See more jobs at Addison Groupexternal

$75 - $120/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

Position: Forward Deployed AI Engineer
Location: Houston, TX - Fully Onsite
Compensation: $75.00 - $120.00 / Per Hour
Employment Type: Long term contract
Benefits: This position is eligible for medical, dental, vision, and 401(k).
Position Overview
A large enterprise organization is seeking a hands-on Forward Deployed AI Engineer to join its growing Enterprise AI team. This role will work directly with employees across departments to uncover operational challenges and rapidly transform them into practical AI-powered applications, automations, and internal tools.
Unlike a traditional development role centered around a predefined backlog, this position requires embedding with business teams, observing how work is performed, identifying inefficiencies, and proactively developing solutions.
The ideal candidate combines software engineering fundamentals with curiosity, strong business instincts, and a user-focused mindset. You should be comfortable developing in Python and/or C#/.NET, using AI-assisted coding tools to accelerate delivery, and working through loosely defined requirements.
Success will be measured by your ability to understand users, build practical solutions quickly, iterate based on feedback, and deliver measurable business value.
Key Responsibilities
  • Embed with business teams to understand workflows, identify pain points, and uncover opportunities for AI, automation, or application development.
  • Lead discovery conversations with users who may not know how to translate their challenges into technical requirements.
  • Turn ambiguous business problems into functional prototypes and production-ready solutions.
  • Rapidly build and iterate using Python, C#/.NET, AI-assisted development tools, or a combination of traditional and AI-generated code.
  • Develop AI-enabled applications, copilots, agents, search tools, workflow automations, and full-stack business solutions.
  • Demonstrate early versions to users, gather feedback, and continuously improve the product.
  • Determine when AI is appropriate and when a traditional application, integration, or automation would provide a better solution.
  • Integrate applications with enterprise data sources, APIs, databases, documents, and existing business systems.
  • Communicate technical concepts, limitations, risks, and tradeoffs in language business users can understand.
  • Evaluate AI outputs for accuracy, reliability, security, and alignment with business requirements.
  • Own solutions throughout the full lifecycle, including discovery, development, testing, deployment, adoption, and ongoing enhancement.
  • Adapt quickly as business needs and executive priorities evolve.

Required Qualifications
  • Strong software engineering foundation using Python and/or C#/.NET.
  • Experience developing applications, internal tools, workflow automations, or AI-powered solutions.
  • Experience using modern AI development and coding tools to accelerate prototyping and delivery.
  • Ability to work across the technology stack, including backend services, APIs, databases, integrations, and user-facing applications.
  • Practical understanding of LLMs and AI application patterns, including:
    • Retrieval-augmented generation (RAG)
    • AI agents and tool calling
    • Semantic or vector search
    • Prompt engineering
    • Chatbots and copilots
    • AI output evaluation and validation
  • Cloud development experience in Azure, AWS, or GCP; Azure is preferred.
  • Ability to work directly with nontechnical users and translate loosely defined needs into functional solutions.
  • Strong communication, listening, presentation, and relationship-building skills.
  • Demonstrated ownership, curiosity, adaptability, and comfort operating without perfectly defined requirements.
  • Ability to work onsite five days per week and spend time embedded with different business teams.

Preferred Qualifications
  • Experience in a forward deployed engineering, solutions engineering, field engineering, technical consulting, innovation, or rapid-prototyping role.
  • Experience within oil and gas, energy, industrial, manufacturing, or another asset-intensive environment.
  • Familiarity with workflows across Operations, Engineering, Commercial, Finance, HR, Compliance, or Field Services.
  • Experience deploying AI applications within secure enterprise environments.
  • Experience with Azure technologies such as:
    • Azure OpenAI
    • Azure AI Foundry
    • Azure Functions
    • Azure Service Bus
    • Azure API Management
    • Azure AI Search
    • Microsoft Entra ID
  • Experience with technologies such as SQL Server, SharePoint, Databricks, Blazor, ASP.NET Core, Semantic Kernel, Copilot Studio, or other agent frameworks.
  • Experience connecting AI applications to enterprise documents and structured or unstructured data.
  • AI certifications, personal projects, hackathon experience, or other evidence of continued experimentation with emerging technology.

What Success Looks Like
The strongest candidate will be:
  • Business-minded: Focused on solving the user's problem rather than applying technology for its own sake.
  • Technically resourceful: Able to build independently and use AI tools to increase speed and productivity.
  • User-facing: Comfortable sitting alongside employees, asking thoughtful questions, observing their work, and earning their trust.
  • Consultative: Able to uncover the real business need, even when the initial request is vague or points toward the wrong solution.
  • Action-oriented: Moves quickly from discovery to prototype without waiting for perfectly documented requirements.
  • Adaptable: Comfortable shifting between technologies, business functions, and evolving priorities.
  • Pragmatic: Understands when to use an LLM, automate a workflow, integrate an existing system, or build a traditional application.
  • Outcome-focused: Can explain what was built, who used it, what problem it solved, and the business impact it delivered.
  • End-to-end: Takes ownership beyond development, including testing, deployment, adoption, iteration, and production reliability.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, in accordance with applicable federal, state, and local laws. Reasonable accommodation is available for qualified individuals with disabilities upon request.
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