Sr. AI Developer/Engineer with Azure AI Exp.

Key Responsibilities

• Provide technical leadership to a team building AI and ML solutions that address complex business problems, from early concept and experimentation through secure, scalable production deployment.
• Shape the AI strategy and guide solution design, ensuring alignment with organizational goals and industry best practices.
• Lead the delivery of high-impact capabilities across data pipelines, model development, and AI-enabled services.
• Drive the productionization of AI models, including the development of scalable pipelines and robust monitoring systems.
• Influence architecture decisions for multifaceted AI systems, ensuring reliability, performance, and maintainability.
• Mentor other engineers, elevating best practices for responsible AI in a highly regulated environment.
• Implement advanced LLM solution patterns, including retrieval augmented generation (RAG) and structured reasoning approaches.
• Set team best practices through code reviews, standards development, and technical guidance.
• Collaborate with cross-functional teams to integrate AI solutions into existing platforms and services.
• Stay current with emerging AI and ML technologies, evaluating and adopting new tools and frameworks as appropriate.

Role Requirements & Qualifications

• Minimum of 10 to 14 years of professional experience in AI, machine learning, or a related field.
• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related discipline.
• Extensive experience building AI solutions using cloud platforms and services, particularly Azure AI services or similar.
• Proven track record in productionizing AI models, including scalable pipelines and robust monitoring systems.
• Strong background in developing deep learning models using modern frameworks such as TensorFlow, PyTorch, or MLX.
• Experience in a highly regulated environment, with healthcare experience strongly preferred.
• Knowledge of ethical AI practices, including explainability, fairness, and bias mitigation, with practical application in real solutions.
• Experience implementing advanced LLM solution patterns, such as retrieval augmented generation and structured reasoning.
• Familiarity with software design patterns, microservices, distributed systems, and container orchestration.
• Excellent communication and leadership skills, with the ability to mentor and guide technical teams.

Skills Inventory

• Azure AI services and Azure Machine Learning
• MLOps practices and tooling
• Python programming
• PyTorch and TensorFlow
• MLX framework
• Deep learning and neural network architectures
• Retrieval augmented generation (RAG)
• Structured reasoning and prompt engineering
• Data pipeline development and orchestration
• Containerization (Docker, Kubernetes)
• Microservices architecture
• Responsible AI and ethics
• Model monitoring and performance tuning
• Git and version control
• Agile development methodologies

Salary & Compensation Estimation

For a Senior AI Engineer with 10 to 14 years of experience and specialized Azure AI expertise, the typical annual salary ranges from $160,000 to $220,000 USD, depending on location, exact experience, and company budget. Since this is a remote contract role, compensation may be offered on an hourly basis, commonly between $80 and $110 per hour. Quantum World Technologies Inc. offers competitive rates commensurate with experience and market standards. As a contractor, you may be responsible for your own taxes and benefits, so it is advisable to factor that into your rate expectations. The high demand for Azure AI and MLOps skills ensures strong negotiation leverage for qualified candidates.