Senior AI Engineer

Senior AI Engineer

Location: Houston, TX (4 days of the week Monday - Thursday) and work from home on Friday

Duration - 6+ months

Interview Process: 2 virtual rounds

Rate: not to exceed $55 – 60 C2C rate.

Key Responsibilities

• Partner with business and technical stakeholders to identify opportunities and deliver AI/ML solutions that drive automation, efficiency, and improved decision-making.
• Design and implement cloud-native AI architectures leveraging Microsoft Azure services and established design patterns.
• Collaborate with Data Scientists and AI Engineers to transition prototypes into scalable, production-ready solutions.
• Build, deploy, and manage enterprise-scale machine learning pipelines, ensuring high performance, reliability, and security.
• Develop and orchestrate infrastructure for low-latency, resilient AI workloads using infrastructure-as-code and automation practices.
• Contribute to reusable frameworks, accelerators, and templates to enhance delivery consistency and speed across teams.
• Implement and support CI/CD pipelines, monitoring, and operational best practices for AI/ML systems in production environments.

Required Technical Skills

• Strong experience with Microsoft Azure, including AI/ML services and cloud-native architecture.
• Hands-on experience with Azure Machine Learning for deploying and managing ML pipelines.
• Proficiency in Python and modern software engineering best practices.
• Experience with automation and configuration management tools (e.g., Ansible).
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Knowledge of enterprise cloud security, identity, and access management practices.

Preferred Qualifications

• Experience with Microsoft Foundry.
• Hands-on experience with agentic AI systems or intelligent automation frameworks.
• Familiarity with data engineering tools such as Databricks, Apache Spark, and Azure Data Factory.
• Experience integrating AI services, including cognitive services, computer vision, and unstructured data processing.

Experience Requirements

• 5+ years of experience in AI engineering, machine learning engineering, or software engineering roles.
• Proven track record of delivering production-grade AI/ML solutions in cloud environments.
• Experience collaborating across cross-functional teams, including data science, engineering, and architecture.

Ways of Working

• Ability to work independently while effectively collaborating within distributed teams.
• Strong communication skills with the ability to translate complex technical concepts into clear, business-friendly language.
• Results-driven mindset with a focus on delivering scalable solutions and measurable business value.