Lead AI/ML Engineer- Hybrid Eden Prairie, MN

Primary Responsibilities

• Lead and mentor AI/ML engineers, setting technical direction, engineering standards, and a culture of continuous learning
• Design, build, and deploy responsible Voice AI capabilities, including speech handling, enhanced ASR, bilingual switching, slurred speech recognition, dynamic personality, and multi-modal/multi-cloud interactions
• Translate AI advances in real-time transcription and speech processing into scalable, reusable, production-ready enterprise capabilities
• Partner with ECS Business to drive solution architecture, cost estimation, and roadmap alignment across modern and legacy technology stacks
• Embed ethical AI and HIPAA-compliant security standards across the model development lifecycle
• Implement advanced engineering features such as dynamic interactive forms, adaptive updates, and conditional logic to improve patient-agent workflows
• Define enterprise standards for evaluating and vetting external AI vendors
• Use enterprise-approved AI tools to automate workflows, accelerate delivery, and drive continuous improvement

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related technical field; 4+ years of software engineering experience may substitute for a degree
• 10+ years of software engineering experience, including designing, building, and deploying production-grade AI/ML models and systems
• 4+ years of experience developing applications leveraging Large Language Models (LLMs), LLM workflows, Agentic AI, evaluation techniques, and observability platforms
• 3+ years of experience leading engineering teams, mentoring engineers, defining technical standards, and driving solution architecture
• Experience with Python, backend services, cloud platforms, and CI/CD pipelines to deliver scalable, secure, production-ready solutions

Preferred Qualifications

• Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• Technical experience with Databricks, Azure AI, Azure Transcription Services, RLlib, PyTorch, OpenAI, or similar AI/ML platforms and frameworks
• Experience developing with front-end frameworks, REST/WebSocket APIs, and secure cloud-native application patterns
• Experience working in healthcare, including EHR integration and HIPAA-compliant AI application development
• Deep machine learning domain knowledge across NLP, speech, personalization, recommendation systems, computer vision, or anomaly detection
• Demonstrated adaptability, ownership, learning agility, and curiosity in solving ambiguous, high-impact technical problems