AI Engineer - Hybrid in either Dallas or Houston, TX (3x/wk)
We are seeking a highly skilled Senior AI Engineer with deep expertise in building, deploying, and optimizing AI/ML solutions within the Azure ecosystem, while also collaborating on the integration of AI capabilities into Angular-based applications. This role requires a strong balance of hands-on technical execution and strategic problem-solving, working across data engineering, model development, and front-end integration.
The ideal candidate is passionate about leveraging AI to drive business outcomes, has strong cloud-native architecture experience, and thrives in cross-functional environments.
Key Responsibilities
AI/ML Solution Development
o Design, develop, and deploy AI/ML models using Azure Machine Learning, Cognitive Services, and Azure OpenAI.
o Build scalable, production-ready pipelines for model training, testing, and deployment.
o Fine-tune and optimize large language models and other advanced ML architectures.
Application Integration
o Collaborate with front-end engineers to integrate AI models into Angular web applications.
o Develop APIs, services, and SDKs for seamless AI integration across enterprise apps.
o Ensure low-latency, high-availability delivery of AI-powered features.
Cloud Architecture & Engineering
o Design end-to-end solutions using Azure services (Azure ML, Data Factory, Synapse, Cognitive Services, Functions, AKS, etc.).
o Optimize AI workloads for performance, cost-efficiency, and security.
o Implement monitoring, logging, and governance practices for production AI systems.
Leadership & Collaboration
o Mentor junior engineers and provide technical leadership in AI solution design.
o Partner with product managers, data scientists, and business stakeholders to define AI use cases.
o Stay current with AI/ML and front-end technologies, driving innovation within the team.
Qualifications
Education & Experience
o Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
o 5 8+ years of professional experience in AI/ML engineering and software development.
Technical Skills
o Strong expertise in Azure Machine Learning, Azure OpenAI, Cognitive Services, Synapse, and Azure DevOps.
o Proficiency in Python (for ML/AI development) and TypeScript/Angular (for application integration).
o Experience with RESTful APIs, microservices, and containerized deployments (Docker/Kubernetes/AKS).
o Strong foundation in data pipelines, SQL/NoSQL databases, and ETL workflows.
o Familiarity with Generative AI, LLM fine-tuning, and prompt engineering is a strong plus.
Soft Skills
o Excellent communication and collaboration skills.
o Ability to translate business challenges into AI-driven solutions.
o Leadership experience in guiding technical teams and projects.
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