Hiring: Lead AI Architect Company: Alternate Solutions Health Network Location: Ohio, United States Job Posted Time: 2026-09-16 13:54:55 Target Skills & Keywords : AI, AWS, Deep Learning, Docker, ECS, Enterprise Architecture, Hugging Face, JavaScript, Keras, Kubernetes, LLM, LangChain, Lua, MLOps, Machine Learning, Pandas, PyTorch, Python, RAG, Reinforcement Learning, Revenue Cycle Management, SQL, SageMaker, TensorFlow About the job Experience: •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 Required Skills: •Interface directly 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 Qualifications: •At least 10+ years of proven experience primarily architecting AI/ML systems in productions environments •Applied hands-on capability in LLM’s generative AI frameworks such as Langchain, HuggingFace, OpenAI and Anthropic APIs and Transformer based architectures •Applied hands-on capability in 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 Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!