Architect, design and develop AI/ML solutions to solve novel business problems, taking ideas from problem framing through proof of concept, pilot, and full production deployment.
Implement both traditional machine learning models and modern AI techniques, including large language models (LLMs), generative AI, retrieval-augmented generation (RAG), and agentic AI systems.
Collaborate closely with product managers, engineers, data scientists, and business stakeholders to define project scope, technical approach, success metrics, and deployment requirements.
Build robust, scalable, and maintainable AI systems with a focus on accuracy, robustness, fairness, and explainability, adhering to responsible AI principles.
Develop and execute rigorous model evaluation frameworks to assess performance, generalization, bias, and resilience to edge cases or adversarial inputs.
Transition AI prototypes into production-ready systems by partnering with platform and engineering teams to ensure seamless deployment, monitoring, and lifecycle management.
Contribute to documentation, governance, and compliance processes to meet enterprise and regulatory standards, especially in healthcare and other regulated environments.

Bachelor’s Degree or higher in Computer Science, Data Science, Engineering, Mathematics, or a related technical field AND 5-8 years of job-related experience OR High School Diploma/GED AND 10 years of the same job-related experience
Proficiency in AI programming languages (e.g., Python)
Hands-on experience with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn, AWS Bedrock, and Azure AI Foundry
Solid software engineering skills (testing, code quality, modular design, performance awareness)
Experience building end-to-end ML pipelines (data preparation, training, evaluation, deployment integration)
Experience designing, training, and tuning deep neural networks
Understanding of model architecture, training dynamics, and evaluation techniques
Familiarity with deploying or supporting AI solutions on cloud platforms
Must be legally authorized to work in country of employment without sponsorship for employment visa status.

Senior Data Engineer – AI, ML Enablement

Key skills