Machine Learning Architect – AI Strategy & Platform Engineering

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community. Job Description We are seeking a visionary Machine Learning Architect to lead the design and governance of our AI/ML ecosystem. This role is responsible for defining best practices, setting architectural standards, and guiding multiple use cases across the organization. You will collaborate with engineering, data science, and product teams to ensure scalable, secure, and high-performing AI solutions. As a senior technical leader, you will shape the roadmap for LLM-powered applications, agentic systems, and traditional ML/DL models, driving innovation and operational excellence in healthcare technology. • Architectural Leadership: Define and enforce ML architecture standards, frameworks, and design patterns for enterprise-scale AI solutions. • Strategic Roadmapping: Develop long-term AI/ML strategy aligned with business objectives and emerging technologies. • Platform Design: Oversee the development of ML platforms, pipelines, and infrastructure for model training, deployment, and monitoring. • Governance & Compliance: Establish guidelines for data privacy, security, and regulatory compliance (HIPAA, GDPR) in healthcare AI systems. • Multi-Use Case Guidance: Provide technical leadership across diverse AI initiatives, including LLM-powered workflows, predictive analytics, and multimodal applications. • Performance & Scalability: Ensure robust architecture for handling large datasets, distributed training, and real-time inference. • Mentorship & Enablement: Coach senior engineers and data scientists, fostering a culture of best practices and continuous learning. • Innovation & Research: Stay ahead of trends in Generative AI, agent architectures, and MLOps, and integrate them into organizational standards. Required Qualifications • Education: Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field (Ph.D. preferred). • Experience: 8+ years in ML engineering or data science, with at least 3 years in an architectural or leadership role. • ML/DL Expertise: Deep knowledge of ML algorithms, deep learning frameworks (PyTorch, TensorFlow), and model optimization techniques. • LLM & Agentic Systems: Experience designing architectures for LLM-based applications and AI agents. • Data & Infrastructure: Strong understanding of distributed systems, big data platforms (Spark, Hadoop), and cloud services (AWS, Azure, GCP). • Database Skills: Proficiency in SQL and PostgreSQL, plus familiarity with vector databases (Pinecone, Weaviate). • MLOps & CI/CD: Expertise in model lifecycle management, Kubernetes, and GitOps practices. • Leadership: Proven ability to influence technical direction and mentor cross-functional teams. Preferred Qualifications • Experience with microservices architecture for AI solutions. • Contributions to open-source AI/ML projects or published research. • Familiarity with model governance frameworks and responsible AI principles. • Hands-on experience with quantization, distillation, and optimization of large-scale models. Additional Information While we've outlined some key qualities we typically seek, it's essential to remember that there might be additional unique strengths and talents you possess that would make you an exceptional match for us, even if they're not explicitly mentioned. Studies have consistently highlighted the significance of this principle, particularly for individuals from disenfranchised backgrounds, including women and other marginalized groups. These individuals often hesitate to apply unless they meet every single requirement, unlike their male counterparts who are more inclined to apply when they meet around 60% of the criteria. The message we want to convey is that taking a leap of faith and applying can be incredibly rewarding. Your distinct abilities and perspectives could be exactly what we need to create a more diverse and inclusive team. So, don't hesitate—apply today and let's explore the exciting possibilities together! All your information will be kept confidential according to EEO guidelines. At Ensora Health, Diversity, Equity, Inclusion, and Belonging aren’t just words. We celebrate what makes us unique, foster an ecosystem of inclusion for all and harness our talents to promote diversity of thought and action in everything we do. We instill Diversity, Equity, Inclusion, and Belonging into the fabric of our CARING culture and business, as we strive to be recognized not only as the leader in healthcare technology, but also for our intentional efforts to promote a diverse community. ​ ​We will champion non-discriminatory practices throughout the employee and customer lifecycle; caring for every person regardless of race, national origin, color, religion, disability, sex, orientation, or familial status. Ensora Health is an equal opportunity employer. Apply tot his job