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Senior Ai Engineer Salary In Jobs in Spring, TX (NOW HIRING)

Phillips 66

Senior AI Readiness Engineer

Houston, TX · On-site

$140K - $171K/yr

Bachelor's degree in Computer Science, Information Systems or related field * 3+ years of ... Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers.

Phillips 66

Senior AI Readiness Engineer

Houston, TX · On-site

$140K - $171K/yr

Bachelor's degree in Computer Science, Information Systems or related field * 3+ years of ... Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers.

Phillips 66

Senior AI Readiness Engineer

Houston, TX · On-site

$140K - $171K/yr

Bachelor's degree in Computer Science, Information Systems or related field * 3+ years of ... Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers.

KPMG US

Senior Associate, AI Engineer

Houston, TX · On-site

$52.75 - $68/hr

They are seeking a Senior Associate, AI Engineer to develop and test AI models, assist with data ... Required : • Minimum three years of recent professional or academic experience in AI/ML, data ...

Amsys Innovative Solutions

AI Engineer

Houston, TX · On-site

Bachelor's degree in Computer Science, Engineering, Data Science, or related field. * 3-5 years of experience in Software Engineering, Cloud Engineering, or AI/ML. * Strong Python development and API ...

Kirkland & Ellis LLP.

AI Engineer II

Houston, TX · On-site

$116K - $144K/yr

As an AI Engineer II, you'll design, build, and optimize enterprise AI solutions that power ... end of the salary range for this position in Chicago. This range may differ based on your ...

Pwc

AI Engineer

Houston, TX · On-site

$50K - $112K/yr

... AI Engineer, you will be at the forefront of transforming raw data into actionable insights ... in real-world applications Travel Requirements Up to 20% Job Posting End Date The salary range for ...

Sembix LLC

Be Seen First

AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

Overview We're looking for an AI Engineer fresh out of school or early in your career who's excited ... Collaborate with senior engineers, ask great questions, and absorb engineering standards and best ...

Apetan Consulting llc

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

... in the room, not just deference to seniority. Grow fast. Work directly with senior engineers who'll ... AI Stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph ...

Chevron

AI Engineer

Houston, TX · On-site

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... Skills * Proficient in applying common design patterns, ability to communicate design ideas ...

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Senior Ai Engineer Salary In information

See Spring, TX salary details

$52.9K

$112.6K

$163.3K

How much do senior ai engineer salary in jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior ai engineer salary in in Spring, TX is $112,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $127,700.00 per year, depending on experience, location, and employer.

What is the difference between Senior Ai Engineer Salary In vs Data Scientist?

AspectSenior Ai EngineerData Scientist
Average Salary$120,000 - $160,000$90,000 - $130,000
Required CredentialsBachelor's/Master's in CS, AI, or related fields; experience with ML frameworksBachelor's/Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentTech companies, AI startups, R&D labsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, machine learning projectsData analysis, predictive modeling, business insights

While both roles require strong technical skills and related credentials, Senior Ai Engineers typically focus on developing and deploying AI models, earning higher salaries. Data Scientists often analyze data to inform business decisions, with slightly lower average pay. The choice depends on your career focus within AI and data analytics.

How much do senior AI engineers make?

Senior AI engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. Salaries can increase with expertise in machine learning frameworks, programming languages, and advanced certifications.

Is a senior AI engineer a high paying job?

A senior AI engineer typically earns a high salary due to advanced skills in machine learning, deep learning, and programming, often exceeding the average for software engineering roles. Compensation varies based on experience, location, and industry, but it generally reflects the specialized expertise required for the position.

What are popular job titles related to Senior Ai Engineer Salary In jobs in Spring, TX?

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Senior Ai Engineer Salary In jobs near you

Senior AI Engineer - Professional Services

DataRobot, Inc.

Houston, TX • On-site

$165K - $225K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago

Job description

Job Description:
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future.
As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands-on builder, translating complex business challenges into cutting-edge AI solutions that deliver tangible business value.
This is a unique opportunity to design, build, and deploy a wide range of applications-from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real-world problems and want to work with the latest in AI technology, this role is for you.
This is a fully remote position with no requirement to go into an office on a regular basis. There will be travel requirements associated with this position to visit clients onsite up to 25% - 50% of the time.
Key Responsibilities:
  • Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high-impact use cases, and define technical requirements for AI solutions.
  • Build & Deploy AI Solutions: Design, develop, and deploy end-to-end AI solutions using the DataRobot platform and open-source tools. This includes:
  • Agentic AI: Developing and deploying agents on DataRobot leveraging common frameworks such as Langgraph, CrewAI, Llama Index
  • Generative AI: Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems.
  • Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.
  • Serve as a Technical Expert: Act as a subject matter expert on the DataRobot platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.
  • Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.
  • Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non-technical audiences, from data scientists to C-level executives.

Knowledge, Skills and Abilities:
AI & Machine Learning Expertise:
  • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, NumPy, etc.).
  • Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,
  • Solid understanding of the end-to-end agentic AI lifecycle from building agents in frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.

Application Development & Operations:
  • Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.
  • Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).
  • Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.
  • Customer Focus: Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.
  • Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems.

Requisite Education and Experience / Minimum Qualifications:
  • Experience: Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.
  • Education: A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
  • Cloud Experience: Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
  • DataRobot Experience: Familiarity with the DataRobot AI Platform is a strong plus.
  • MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.

Compensation Statement
The U.S. annual on-target earnings (OTE) range for this full-time position is between $165,000 and $225,000 USD/year. This range represents a combination of annual base pay and targeted commission. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education.
The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!
DataRobot Operating Principles:
  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We'd love to have a conversation with you and see if you might be a great fit.
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Use of Artificial Intelligence in Our Hiring Process
DataRobot uses approved AI-powered tools to support the hiring process in selected regions. These tools may assist in writing job descriptions, reviewing applications, assessing qualifications, and evaluating candidate materials. All decisions regarding applications are made by members of the DataRobot team.
All applicant data submitted is handled in accordance with our Applicant Privacy Policy.

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