Artificial Intelligence Scientist Jobs in Missouri

INTRODUCTION

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 Copilot.

ROLE AND RESPONSIBILITIES

• Design, develop, and deploy end to end AI applications from data ingestion to production inference.
• Build data pipelines for data preparation, feature engineering, and model training.
• Select, train, evaluate, and optimize machine learning and deep learning models.
• Develop APIs and services to expose AI models for real time and batch use cases.
• Implement monitoring, logging, and model performance tracking in production.
• Collaborate with product, data, and domain teams to translate business requirements into AI solutions.
• Ensure AI solutions meet enterprise standards for security, scalability, and responsible AI usage.

BASIC QUALIFICATIONS

Required AI Skill Areas (Core – 4 Skills)

1. Machine Learning & Model Development
2. Strong understanding of supervised and unsupervised learning techniques.

3. Familiarity with evaluation metrics and model validation techniques.

4. Data Engineering & Feature Engineering

5. Hands on experience with data preprocessing, cleaning, and exploratory data analysis.

6. Experience using Python libraries such as Pandas and NumPy, along with SQL.

7. Generative AI / LLM Based Application Development

8. Experience building applications using Large Language Models (LLMs).

9. Experience integrating LLM APIs into enterprise applications.

10. AI System Design, Deployment & MLOps

11. Ability to design scalable AI architectures for training and inference.
12. Experience deploying models as APIs or services (e.g., using FastAPI or Flask).

PREFERRED QUALIFICATIONS

Technical Skills

• Strong proficiency in Python.
• Experience with ML/DL frameworks such as PyTorch or TensorFlow.
• Familiarity with REST APIs, microservices, and cloud platforms (GCP).
• Knowledge of model lifecycle management tools (e.g., MLflow – preferred).

AI / LLM / Agentic AI

• Vertex AI / Gemini.
• Agentic AI architecture.
• MCP (Model Context Protocol).
• RAG architecture.
• Vector databases / vector search.
• Embeddings and semantic search.
• Prompt engineering and optimization.
• AI orchestration frameworks.
• Multi-agent workflows.
• Context management strategies.
• AI governance and guardrails.

Backend & API Development

• Java Spring Boot.
• REST APIs / Microservices.
• Security frameworks (OAuth2, JWT, RBAC).
• API Gateway integration.
• Async/event-driven architecture.
• Caching frameworks (Redis/Caffeine).

LOCATION

St Louis, MO (Remote)

JOB TYPE

Long Term Contract