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Ensora Health · 1 month ago

Machine Learning Architect – AI Strategy & Platform Engineering

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

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. The company is seeking a visionary Machine Learning Architect to lead the design and governance of their AI/ML ecosystem, collaborating with engineering, data science, and product teams to ensure scalable and high-performing AI solutions.

Electronic Health Record (EHR)Health CareSoftware

Responsibilities

Define and enforce ML architecture standards, frameworks, and design patterns for enterprise-scale AI solutions

Develop long-term AI/ML strategy aligned with business objectives and emerging technologies

Oversee the development of ML platforms, pipelines, and infrastructure for model training, deployment, and monitoring

Establish guidelines for data privacy, security, and regulatory compliance (HIPAA, GDPR) in healthcare AI systems

Provide technical leadership across diverse AI initiatives, including LLM-powered workflows, predictive analytics, and multimodal applications

Ensure robust architecture for handling large datasets, distributed training, and real-time inference

Coach senior engineers and data scientists, fostering a culture of best practices and continuous learning

Stay ahead of trends in Generative AI, agent architectures, and MLOps, and integrate them into organizational standards

Qualification

ML architecture standardsML algorithms expertiseDeep learning frameworksDistributed systems knowledgeLLM-based applicationsCloud services AWSCloud services AzureCloud services GCPMLOps & CI/CDSQLPostgreSQLInnovation & ResearchMicroservices architectureOpen-source contributionsModel governance frameworksLeadershipMentorship

Required

Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field (Ph.D. preferred)

8+ years in ML engineering or data science, with at least 3 years in an architectural or leadership role

Deep knowledge of ML algorithms, deep learning frameworks (PyTorch, TensorFlow), and model optimization techniques

Experience designing architectures for LLM-based applications and AI agents

Strong understanding of distributed systems, big data platforms (Spark, Hadoop), and cloud services (AWS, Azure, GCP)

Proficiency in SQL and PostgreSQL, plus familiarity with vector databases (Pinecone, Weaviate)

Expertise in model lifecycle management, Kubernetes, and GitOps practices

Proven ability to influence technical direction and mentor cross-functional teams

Preferred

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

Company

Ensora Health

Glassdoor2.9

Ensora Health is the leading provider of software and services for mental, behavioral, and rehabilitative health therapists, trusted by over 200,000 individual providers and more than 28,000 practices.

Founded in 2013

Birmingham, Alabama, USA

201-500 employees