Enterprise AI Architect

Alternate Solutions Health Network•Remote Ohio, OH

2d•Onsite

About The Position

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.

Requirements

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

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