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.<br><br>Responsibilities:<br>• Build, test, and operationalize machine learning and predictive analytics solutions, ensuring they perform reliably from initial development through production use.<br>• Create and support data pipelines and system integrations that supply clean, usable data for AI models and related applications.<br>• Work with business stakeholders to define use cases, shape AI-driven workflows, and launch solutions using modern AI platforms and assistants.<br>• Provide end-user guidance through training sessions, practical documentation, and direct support so teams can apply AI tools with confidence.<br>• Act as a trusted internal advisor on applied AI by reviewing new technologies and identifying opportunities where they can deliver measurable business value.<br>• Convert business challenges into scalable technical approaches and present findings clearly to both technical teams and non-technical audiences.<br>• Promote responsible AI practices by emphasizing data protection, model quality, governance, and secure usage across initiatives.<br>• Collaborate with IT, data, and operational teams to prioritize, develop, and implement AI projects that align with organizational goals.<br>• Take on additional assignments as needed to support evolving project and business priorities.
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.<br><br>Responsibilities:<br>• Lead and develop a team of full-stack AI engineers supporting multiple projects at the same time, providing direction, mentorship, and consistent performance feedback.<br>• Contribute directly to active engineering work by helping design, build, and refine AI-enabled applications across frontend, backend, and data environments.<br>• Architect scalable solutions that connect data ingestion, application services, machine learning capabilities, and user interfaces into cohesive products.<br>• Establish and uphold engineering practices related to code reliability, testing discipline, security controls, and technical documentation.<br>• Review architecture decisions and software deliverables to maintain a high standard for performance, maintainability, and production readiness.<br>• Partner with product leaders, data engineers, and AI specialists to translate business goals into practical technical plans and delivered solutions.<br>• Promote responsible use of AI-assisted development tools and define working standards that improve code quality and team effectiveness.<br>• Assess emerging AI engineering tools and methodologies, sharing recommendations and embedding useful practices across the team.<br>• Support hiring, coaching, and team development efforts to strengthen capability, accountability, and delivery excellence.
We are looking for an IAM/Active Directory Architect to support identity and access management strategy, directory services design, and infrastructure governance for a Contract position based in Houston, Texas. This role will focus on building secure, scalable Active Directory environments while partnering with technical teams to align architecture decisions with operational needs. The ideal candidate brings strong experience across DevOps practices, enterprise storage, server virtualization, and Group Policy management, along with a solid understanding of architecture standards.<br><br>Responsibilities:<br>• Design and guide Active Directory and IAM architecture to support secure, reliable, and scalable enterprise operations.<br>• Develop and enforce directory services standards, policies, and technical frameworks that align with broader infrastructure architecture goals.<br>• Administer and optimize Group Policy Objects to strengthen security controls, streamline configuration management, and improve user environment consistency.<br>• Collaborate with DevOps, infrastructure, and operations teams to integrate identity services into automated deployment and support workflows.<br>• Evaluate server virtualization and enterprise storage dependencies to ensure directory services perform effectively across complex environments.<br>• Create architectural documentation, implementation guidance, and technical roadmaps for IAM and Active Directory solutions.<br>• Review existing platforms and recommend improvements that enhance resiliency, governance, and operational efficiency.<br>• Provide technical leadership during planning, deployment, and troubleshooting activities related to directory and identity services.
<p>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.</p><p>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.</p><p>🔧 Core Responsibilities</p><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>
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.<br><br>Responsibilities:<br>• Lead technical design and contribute directly to development efforts, dedicating the majority of time to coding, solution architecture, and problem-solving.<br>• Build, enhance, and support web applications using C#, .NET, Angular, SQL Server, and Azure services such as App Services, Functions, monitoring, and messaging components.<br>• Drive modernization initiatives for existing systems while ensuring ongoing reliability, performance, and maintainability of current applications.<br>• Partner with engineering team members across regions to coordinate development efforts, share technical guidance, and maintain delivery quality.<br>• Work closely with business and technology stakeholders across the department to translate needs into scalable software solutions.<br>• Establish and improve CI/CD practices to strengthen release processes, development efficiency, and code quality.<br>• Incorporate AI-assisted development tools and emerging agent-based workflows into engineering practices to improve speed and output quality.<br>• Provide technical leadership through mentorship, design oversight, and hands-on support without focusing primarily on people management or task administration.
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.<br><br>Responsibilities:<br>• Design, build, and maintain software solutions using C#, .NET, and ASP.NET to support core business and field service operations.<br>• Develop and customize Microsoft Dynamics 365 capabilities to align platform functionality with operational and user requirements.<br>• Create and optimize SQL queries, data models, and backend processes to ensure strong application performance and data integrity.<br>• Build and support ETL workflows that move and transform data between systems for reporting, integration, and business processes.<br>• Collaborate with cross-functional stakeholders to gather technical requirements, define solution approaches, and deliver high-quality enhancements.<br>• Develop responsive user-facing features with JavaScript and React.js to improve usability and streamline business workflows.<br>• Troubleshoot application defects, identify root causes, and implement durable fixes across integrated systems.<br>• Contribute to software architecture, coding standards, testing practices, and continuous improvement efforts throughout the development lifecycle.
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.<br><br>Responsibilities:<br>• Build and enhance end-to-end platform capabilities across user-facing applications and backend services, with a strong focus on scalable full-stack delivery.<br>• Create responsive interfaces using modern JavaScript frameworks and develop server-side functionality that supports secure and efficient data workflows.<br>• Design and integrate data models that connect information from multiple research sources into a cohesive platform architecture.<br>• Contribute to cloud-based infrastructure and automated delivery processes to improve system reliability, performance, and release quality.<br>• Work closely with engineers, product leaders, data specialists, and research partners to translate complex needs into practical software solutions.<br>• Improve code quality through thoughtful system design, peer reviews, testing practices, and clear technical documentation.<br>• Support platform stability by identifying performance issues, troubleshooting technical problems, and helping optimize large application codebases.<br>• Provide guidance to less experienced team members and contribute to a collaborative, high-accountability engineering culture.