Contract role: AI Application Architect with Backend Development at St Louis, MO (Remote 100%)

AI Application Architect with Backend Development St Louis, MO(Remote) Long Term Contract Must Have: Machine Learning and Statistical modeling, MS SQL, Python, PyTorch, TensorFlo w Job Detail s:We are seeking an experienced AI Application Architect to design, build, and deploy end to end AI solutions using modern machine learning and generative AI techniques. The role involves working hands on with data, models, and production systems to deliver scalable, reliable AI applications—without reliance on code assist tools such as GitHub Copilo t. Key Responsibilit • iesDesign, develop, and deploy end to end AI applications from data ingestion to production inferen • ce.Build data pipelines for data preparation, feature engineering, and model traini • ng.Select, train, evaluate, and optimize machine learning and deep learning mode • ls.Develop APIs and services to expose AI models for real time and batch use cas • es.Implement monitoring, logging, and model performance tracking in producti • on.Collaborate with product, data, and domain teams to translate business requirements into AI solutio • ns.Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usa ge. Required AI Skill Areas (Core – 4 Ski lls)1. Machine Learning & Model Develop • mentStrong understanding of supervised and unsupervised learning techniq • ues.Familiarity with evaluation metrics and model validation techniq ues.2. Data Engineering & Feature Enginee • ringHands on experience with data preprocessing, cleaning, and exploratory data analy • sis.Experience using Python libraries such as Pandas and NumPy, along with SQL.3. Generative AI / LLM Based Application Develop • mentExperience building applications using Large Language Models (LL • Ms).Experience integrating LLM APIs into enterprise applicati ons.4. AI System Design, Deployment & M • LOpsAbility to design scalable AI architectures for training and infere • nce.Experience deploying models as APIs or services (e.g., using FastAPI or Fla sk). Technical S • killsStrong proficiency in P • ythonExperience with ML/DL frameworks such as PyTorch or Tenso • rFlowFamiliarity with REST APIs, microservices, and cloud platforms • (GCP)Knowledge of model lifecycle management tools (e.g., MLflow – pref erred AI / LLM / Agen • tic AIVertex AI / • GeminiAgentic AI archit • ectureMCP (Model Context Pro • tocol)RAG archit • ectureVector databases / vector • searchEmbeddings and semantic • searchPrompt engineering and optimi • zationAI orchestration fram • eworksMulti-agent wor • kflowsContext management stra • tegiesAI governance and guar drailsBackend & API Devel • opmentJava Sprin • g BootREST APIs / Microse • rvicesSecurity frameworks (OAuth2, JWT, • RBAC)API Gateway integ • rationAsync/event-driven archit • ectureCaching frameworks (Redis/Caf feine)