11 Results for Ai Engineer Jobs in Houston, TX

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Artificial Intelligence (AI) Engineer

Houston, TX
onsite
Temporary / Contract
- USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to join a Long-term Contract opportunity based in Houston, Texas. This position will focus on creating practical AI solutions that improve business outcomes, from model development through production support. The role blends hands-on engineering with cross-functional collaboration, helping teams adopt AI tools effectively while maintaining strong standards for privacy, security, and reliability. Responsibilities: • Build, test, and operationalize machine learning and predictive analytics solutions, ensuring they perform reliably from initial development through production use. • Create and support data pipelines and system integrations that supply clean, usable data for AI models and related applications. • Work with business stakeholders to define use cases, shape AI-driven workflows, and launch solutions using modern AI platforms and assistants. • Provide end-user guidance through training sessions, practical documentation, and direct support so teams can apply AI tools with confidence. • Act as a trusted internal advisor on applied AI by reviewing new technologies and identifying opportunities where they can deliver measurable business value. • Convert business challenges into scalable technical approaches and present findings clearly to both technical teams and non-technical audiences. • Promote responsible AI practices by emphasizing data protection, model quality, governance, and secure usage across initiatives. • Collaborate with IT, data, and operational teams to prioritize, develop, and implement AI projects that align with organizational goals. • Take on additional assignments as needed to support evolving project and business priorities.
2026-10-21T12:58:47Z

AI Manager

Houston, TX
onsite
Permanent / Full Time
175000.00 - 225000.00 USD / Yearly
We are looking for an experienced AI Manager to lead the delivery of enterprise AI applications in Houston, Texas. This role combines technical leadership with hands-on engineering, guiding full-stack AI solutions from data pipelines and backend services to user-facing applications powered by machine learning and generative AI. The successful candidate will work closely with cross-functional partners while building a strong engineering culture centered on quality, accountability, and practical innovation. Responsibilities: • Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback. • Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments. • Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products. • Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation. • Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness. • Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions. • Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness. • Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team. • Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
2026-10-05T23:18:44Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent / Full Time
140000.00 - 175000.00 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.🔧 Core Responsibilities<ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
2026-10-05T23:13:44Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
- USD / Hourly
We are looking for a Data Engineer to join a growing team supporting data-driven initiatives within the energy and natural resources sector in Houston, Texas. This contract position with the potential to become permanent is ideal for someone who enjoys building reliable data pipelines, improving data accessibility, and working with modern big data technologies. The role offers the opportunity to contribute to scalable data solutions that support operational and business insights. Responsibilities: • Design, build, and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources • Develop and optimize ETL workflows to support analytics, reporting, and downstream applications • Use Python and Apache Spark to process large-volume datasets efficiently and reliably • Work with Hadoop-based environments to manage distributed data storage and processing needs • Implement and support Kafka-based data streaming solutions for real-time data movement • Partner with technical and business stakeholders to understand data requirements and translate them into practical engineering solutions • Monitor pipeline performance, troubleshoot data issues, and improve overall data quality and reliability
2026-10-21T12:53:47Z

Software Engineer

Houston, TX
remote
Temporary / Contract
- USD / Hourly
We are looking for a Software Engineer to join a long-term contract opportunity supporting a secure research data platform in Houston, Texas. In this role, you will help create and enhance web-based tools that allow researchers to work with large-scale learning and behavioral data while maintaining strong privacy protections. This position blends full-stack development, data-focused problem solving, and close collaboration with technical and academic stakeholders. The ideal candidate brings strong TypeScript-based engineering experience and enjoys building reliable products that support meaningful research outcomes. Responsibilities: • Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery. • Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows. • Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture. • Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality. • Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions. • Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation. • Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases. • Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.
2026-10-14T12:53:44Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000.00 - 130000.00 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T23:18:44Z

Software Engineer Team Lead

Houston, TX
onsite
Temporary to Hire
- USD / Hourly
We are looking for a Software Engineer Team Lead to join a Texas-based organization in the credit services industry and play a key role in building and evolving business-critical applications. This contract-to-permanent opportunity is ideal for a senior technical leader who enjoys staying close to the code while guiding engineering direction, partnering with internal stakeholders, and supporting distributed teams. The position is primarily hands-on, with a strong emphasis on application architecture, modernization, and delivery across a Microsoft and Azure-focused environment. Responsibilities: • Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving. • Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components. • Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications. • Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality. • Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions. • Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality. • Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality. • Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
2026-10-14T12:53:44Z

Senior Data Engineer

Houston, TX
onsite
Permanent / Full Time
140000.00 - 160000.00 USD / Yearly
We are looking for an experienced Senior Data Engineer to help design and enhance scalable data platforms that support critical business operations in Houston, Texas. This role is ideal for someone who enjoys building reliable pipelines, improving data accessibility, and working with modern big data technologies in a service-focused environment. The successful candidate will play a key role in shaping data architecture, enabling analytics, and maintaining high standards for performance, quality, and governance. Responsibilities: • Design, build, and optimize large-scale data pipelines that collect, transform, and deliver data from multiple sources. • Develop robust ETL workflows using Python and Spark to support reporting, analytics, and operational data needs. • Implement and maintain data solutions across distributed processing environments, including Hadoop and Azure Databricks. • Create streaming and batch data integrations using Kafka and related technologies to ensure timely and dependable data movement. • Collaborate with analysts, engineers, and business stakeholders to translate requirements into scalable technical solutions. • Monitor pipeline performance, troubleshoot data issues, and apply improvements that increase reliability and efficiency. • Establish data quality controls, validation processes, and documentation to support governance and long-term maintainability. • Contribute to platform enhancements and technical initiatives, including changes to data infrastructure or internal processing frameworks when needed.
2026-10-01T20:58:49Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000.00 - 225000.00 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T23:13:44Z

Software Engineer

Houston, TX
onsite
Permanent / Full Time
100000.00 - 130000.00 USD / Yearly
We are looking for an experienced Software Engineer to join a team in Houston, Texas, building and enhancing business-critical applications with a strong focus on Microsoft Dynamics 365 and modern web technologies. This role is well suited for someone who enjoys designing scalable solutions, working across application layers, and translating operational needs into reliable software. The ideal candidate brings deep hands-on development experience, strong problem-solving ability, and a solid foundation in software engineering principles. Responsibilities: • Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations. • Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements. • Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity. • Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes. • Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements. • Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows. • Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems. • Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
2026-10-07T19:18:42Z

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000.00 - 170000.00 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T23:23:41Z

11 results for Ai Engineer in Houston, TX