Lead AI Architect

Alternate Solutions Health Network, LLC; Kentucky; Hybrid; USD 180,000 - 260,000; Full time

Job summary

Alternate Solutions Health Network is seeking a Lead AI Architect to design and develop AI/ML powered healthcare applications, collaborating with stakeholders and technical teams. The role focuses on traditional, generative, and agentic AI, with emphasis on scalable and compliant solutions.

You will lead architecture, build LLM-based workflows, and implement MLOps pipelines to ensure performance and reliability in clinical and operational use cases.

Qualifications

• Ten or more years architecting AI/ML systems in production environments.
• Over 10 years in data science and AI/ML with AWS experience (5+ years hands-on).
• 7+ years building scalable enterprise AI apps.
• 5+ years healthcare applications, preferably home health.

Responsibilities

• Lead architecture and implementation of Traditional, Gen AI and Agentic AI solutions for clinical and operational intelligence.
• Architect agentic AI workflows with LLMs and RAG-enabled data retrieval.
• Build ML models and integrate LLMs into web/mobile apps with feedback loops and RL.
• Establish MLOps pipelines for training, monitoring, and fairness.
• Develop model governance for explainability, bias mitigation and compliance.

Skills

AI architecture

AWS

Python

Docker

Kubernetes

Langchain

OpenAI

Education

Master's degree in CS/AI

Tools

TensorFlow

PyTorch

SageMaker

Bedrock

Textract

Pandas

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 a Lead 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 proven experience in data science, AI/ML including architecting, designing, developing and deploying mission critical enterprise grade AI/ML solutions with at-least 5+ years of hands-on experience architecting within the AWS ecosystem
• 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
• Hands-on experience with Generative AI, RAG and Agentic AI solutions with demonstrated experience designing and implementing enterprise AI architectures within the past 2 years
• 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.

ASHN will never ask, nor require a candidate to provide money for work equipment and network access during the application process. If you become aware of any instances where you as a candidate are asked to provide information and do not believe it is a legitimate request from Humana or affiliate, please contact [e-mail] to validate the request

Alternate Solutions Health Network collaborates with health systems in joint venture partnerships to create a post-acute care solution to deliver efficient centralized operations that is patient focused. Our company has been dedicated, since the very beginning, to transforming the quality of care for our team and our patients.