Position Overview
We are seeking a highly skilled and compliance-minded AI Specialist to design, build, and deploy artificial intelligence and machine learning solutions that drive automation, operational efficiency, and intelligent decision-making across the organization. This role sits at the intersection of AI engineering, cloud infrastructure, and data security — requiring someone who can build powerful AI systems while operating within strict compliance frameworks including HIPAA and SOC 2.
The ideal candidate is a strong programmer with hands-on AI/ML development experience, deep familiarity with AWS cloud services, and a genuine understanding of what it means to build and deploy AI in regulated, security-sensitive environments. This is not a theoretical role — you will be building, integrating, and shipping.
Key Responsibilities
AI & Machine Learning Development
- Design, develop, and deploy AI and machine learning models to solve real business problems and automate workflows
- Build and maintain end-to-end ML pipelines from data ingestion and preprocessing through model training, evaluation, and production deployment
- Develop natural language processing (NLP), large language model (LLM) integrations, and generative AI solutions as applicable
- Fine-tune and optimize pre-trained models (including GPT, Claude, or open-source alternatives) for specific use cases
- Evaluate model performance, monitor for drift, and implement improvements based on real-world feedback
- Research and apply emerging AI techniques, frameworks, and tools to continuously improve solution quality
AI Integration & Automation
- Integrate AI models and APIs into existing applications, platforms, and workflows
- Build intelligent automation solutions that reduce manual effort and improve operational throughput
- Develop AI-powered features including chatbots, recommendation engines, document processing, and predictive analytics
- Design and implement RAG (Retrieval-Augmented Generation) architectures for knowledge-based AI applications
- Collaborate with product and operations teams to identify high-value AI use cases and deliver solutions
Programming & Software Engineering
- Write clean, well-documented, production-quality code primarily in Python, with additional languages as needed (JavaScript, SQL, Bash, etc.)
- Build APIs, microservices, and data pipelines that support AI workloads at scale
- Apply software engineering best practices including version control (Git), code review, testing, and CI/CD
- Maintain and refactor existing codebases for performance, reliability, and maintainability
- Document technical architectures, implementation decisions, and system behaviors clearly
AWS Cloud Infrastructure