Enterprise AI Architect

Alternate Solutions Health Network; Kentucky; On-site; USD 180,000 - 240,000; Full time

Job summary

Alternate Solutions Health Network is seeking an Enterprise AI Architect to collaborate with stakeholders, leadership and technical teams to design scalable AI/ML powered health apps. You will lead architecture across traditional, generative and agentic AI, with emphasis on clinical and operational intelligence.

Ideal candidates bring 10+ years of AI/ML production experience, hands-on LangChain, PyTorch, TensorFlow, and strong data governance.

Qualifications

• 10+ years architecting AI/ML systems in production environments.
• 10+ years in supervised and unsupervised learning, statistics, and neural networks.

Responsibilities

• Lead architecture and implementation of Traditional AI, Gen AI and Agentic AI solutions for clinical and operational intelligence.
• Design agentic AI to orchestrate multi-agent workflows using RAG with multimodal data.
• Build and integrate LLMs into modern web and mobile apps with feedback and reinforcement learning.
• Implement MLOps pipelines for continuous training and monitoring bias/fairness.

Skills

AI/ML architecture

LLMs

TensorFlow/Keras

PyTorch

Pandas

Docker

Kubernetes

Python

SQL

NoSQL databases

Communication skills

Analytical thinking

Education

Master's in Computer Science, AI/ML

Tools

Docker

Kubernetes

AWS ECS

AWS Bedrock

SageMaker

Textract

Comprehend

LangChain

HuggingFace

OpenAI API

Anthropic API

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.

Summary

Alternate 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 Responsibilities

• Work with business and technical teams to identify functional requirements that drive smart healthcare technology solutions to meet growing organization needs
• Lead 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 understanding
• Architect and design agentic AI solutions to orchestrate LLM powered multi-agent workflows including RAG enhanced retrieval from multimodal data
• Design 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 learning
• Implement 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 regulations
• Mine and analyze data from internal/external data sets to methodically optimize operations across various departments including intake, clinical, revenue cycle and other operations
• Perform data/error analysis to continuously improve models, clean and validate data for uniformity and accuracy
• Stay ahead of emerging AI trends and research to continuously refine architectural best practices
• Mentor and coach other technical team members on the ethical use of AI, AI architecture design patterns
• Compliance and adherence to all company policies and procedures
• Attends in-office meetings, participates in meetings, and attends educational programs as needed
• Performs other duties as assigned

Qualifications

• At least 10+ years of proven experience primarily architecting AI/ML systems in productions environments
• 10+ years of experience in both supervised and unsupervised learning, statistics and neural network design
• 7+ years of experience building highly scalable mission critical enterprise grade AI applications at scale
• 5+ years of experience building mission critical health care applications, preferably in home health
• Hands-on experience with LLM’s generative AI frameworks such as Langchain, HuggingFace, OpenAI and Anthropic APIs and Transformer based architectures
• Proven experience with machine learning frameworks such as TensorFlow/Keras, PyTorch and Pandas
• Proven experience with classical data analysis such as Classification, Regression, Clustering and deep learning models such as RNN, CNN, GAN
• Proven experience with various data and AI related services in AWS (Bedrock, Textract, SageMaker, Comprehend)
• Proven experience building scalable solutions leveraging Docker, Kubernetes, AWS ECS
• Expert level knowledge of Python, R
• Proficiency with at-least two scripting languages (e.g. JavaScript, Python, Lua), SQL, No- SQL Databases
• Strong verbal and written communication skills
• Extremely strong analytical and problem-solving abilities

EDUCATION AND CREDENTIALS

• Master’s in Computer Science, Artificial Intelligence, Machine Learning or equivalent experience

We’ll help you put your passion for patient care to work.

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.