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

Architect, deploy, and manage AI and data workloads on AWS cloud infrastructure

Utilize AWS services including SageMaker, Lambda, EC2, S3, RDS, Bedrock, Step Functions, and API Gateway

Build scalable, cost-efficient cloud architectures that support model training, inference, and data processing

Implement infrastructure-as-code using AWS CloudFormation, CDK, or Terraform

Monitor cloud resource utilization and optimize for performance and cost

Ensure all AWS environments are configured in alignment with security and compliance requirements

HIPAA Compliance

Design and develop all AI systems and data pipelines in full compliance with HIPAA Privacy and Security Rules

Ensure Protected Health Information (PHI) is handled, stored, transmitted, and processed with appropriate safeguards

Implement technical controls including encryption at rest and in transit, access controls, and audit logging for all PHI-adjacent systems

Participate in HIPAA risk assessments and support remediation of identified vulnerabilities

Maintain documentation required for HIPAA compliance including data flow diagrams, system inventories, and access logs

Stay current on HIPAA regulatory developments and ensure AI systems remain compliant as regulations evolve

SOC 2 Compliance

Build and maintain AI systems and cloud infrastructure in accordance with SOC 2 Trust Service Criteria (Security, Availability, Confidentiality, Processing Integrity, and Privacy)

Implement and maintain security controls required for SOC 2 Type I and Type II certification

Support audit preparation by maintaining evidence, access logs, and system documentation

Participate in vulnerabi

AI & Cloud Engineering at Remote Raven