Enterprise AI Architect

Alternate Solutions Health Network, LLC; Columbus (OH); On-site; USD 150,000 - 230,000; Full time

Job summary

Alternate Solutions Health Network, LLC is seeking an Enterprise AI Architect to partner with stakeholders and technical teams to design scalable AI/ML powered health applications. The role centers on traditional AI, Gen AI, and agentic AI with emphasis on healthcare compliance and operational intelligence.

The candidate will architect end-to-end AI solutions, implement MLOps, and mentor peers while staying current with AI trends and governance required for clinical data.

Qualifications

• 10+ years of experience architecting AI/ML systems in production.
• 5+ years building mission-critical healthcare applications.
• Hands-on with LLM frameworks and transformer architectures.
• Proven experience with Docker, Kubernetes and cloud ML services.

Responsibilities

• Lead architecture and design of AI/ML systems for scalable health tech.
• Develop Gen AI and agentic AI solutions for clinical/operational use.
• Build and maintain MLOps pipelines for continuous training and monitoring.
• Collaborate with stakeholders and mentor teams on ethical AI practices.

Skills

AI/ML architecture

Supervised learning

Unsupervised learning

Neural networks

Gen AI & LLMs

MLOps

Python

R

Education

Master's in Computer Science/AI/ML

Tools

TensorFlow

PyTorch

Keras

Pandas

Langchain

HuggingFace

OpenAI API

Anthropic API

Docker

Kubernetes

AWS SageMaker

Bedrock

Textract

Job description

Our culture and people are what set us apart from other post-acute care providers. We’re dedicated to the growth and development of our team to set them up for success. We CARE for our patients like they are our own FAMILY.SUMMARYAlternate Solutions is looking for an Enterprise AI Architect to work closely with Business Stakeholders, Leadership and Technical teams to design and develop Artificial Intelligence / Machine Learning powered highly scalable and performant mobile and web applications. The ideal candidate will be experienced with Traditional AI including supervised and unsupervised learning, Generative and Agentic AI and containerization. The individual must understand the role AI / ML plays in Healthcare to design and build highly scalable operational and clinical intelligence products.KEY RESPONSIBILITIESWork with business and technical teams to identify functional requirements that drive smart healthcare technology solutions to meet growing organization needsLead the Architecture, design and implementation of Traditional AI, Gen AI and Agentic AI solutions capable of clinical and operational intelligence and decision making, autonomous reasoning and contextual understandingArchitect and design agentic AI solutions to orchestrate LLM powered multi-agent workflows including RAG enhanced retrieval from multimodal dataDesign and build supervised and unsupervised models, prompt and context engineering solutions and integrate LLMs into modern web and mobile applications which allow feedback and reinforcement learningImplement MLOps pipelines for continuous training, monitoring bias/fairness without compromising on quality, performance and uptime.Develop and maintain model governance frameworks addressing explainability, bias mitigation and compliance with healthcare data regulationsMine and analyze data from internal/external data sets to methodically optimize operations across various departments including intake, clinical, revenue cycle and other operationsPerform data/error analysis to continuously improve models, clean and validate data for uniformity and accuracyStay ahead of emerging AI trends and research to continuously refine architectural best practicesMentor and coach other technical team members on the ethical use of AI, AI architecture design patternsCompliance and adherence to all company policies and proceduresAttends in-office meetings, participates in meetings, and attends educational programs as neededPerforms other duties as assignedQUALIFICATIONSAt least 10+ years of proven experience primarily architecting AI/ML systems in productions environments10+ years of experience in both supervised and unsupervised learning, statistics and neural network design7+ years of experience building highly scalable mission critical enterprise grade AI applications at scale5+ years of experience building mission critical health care applications, preferably in home healthHands-on experience with LLM’s generative AI frameworks such as Langchain, HuggingFace, OpenAI and Anthropic APIs and Transformer based architecturesProven experience with machine learning frameworks such as TensorFlow/Keras, PyTorch and PandasProven experience with classical data analysis such as Classification, Regression, Clustering and deep learning models such as RNN, CNN, GANProven experience with various data and AI related services in AWS (Bedrock, Textract, SageMaker, Comprehend)Proven experience building scalable solutions leveraging Docker, Kubernetes, AWS ECSExpert level knowledge of Python, RProficiency with at-least two scripting languages (e.g. JavaScript, Python, Lua), SQL, No- SQL DatabasesStrong verbal and written communication skillsExtremely strong analytical and problem-solving abilitiesEDUCATION AND CREDENTIALSMaster’s in Computer Science, Artificial Intelligence, Machine Learning or equivalent experienceWe’ll help you put your passion for patient care to work. Apply today!This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.We are an Equal Opportunity Employer.