Specialist Platform Engineer - Python Developer
Core
Design, build, and govern secure, scalable enterprise AI platforms on AWS to enable AI/ML, Generative AI, LLMOps, and MLOps capabilities for application teams.
Role type
Senior Platform Engineer (AI/ML Infrastructure)
Builds
Multi-tenant enterprise AI platforms, Generative AI/LLMOps solutions, Agentic AI orchestration systems, and production-grade MLOps pipelines.
Domain
Healthcare/Pharma, Cloud Infrastructure, Artificial Intelligence
Deliverable
production ML models | infrastructure
Required skills
Python development, AWS cloud engineering, AI/ML and MLOps infrastructure, AWS AI/ML services (SageMaker, Bedrock, Agent Core), AI orchestration frameworks (LangChain, LlamaIndex, DSPy), end-to-end AI solution architecture, AI governance and regulatory compliance, AWS security controls.
Preferred skills
AWS certifications, healthcare/pharma industry experience.
Technologies
AWS (Bedrock, SageMaker Pipelines, Model Monitor, Feature Store, Agent Core), Python, LangChain, LlamaIndex, DSPy.
Responsibilities
Design and deliver secure, scalable, multi-tenant enterprise AI platforms on AWS; Build and enable Generative AI and LLMOps capabilities using Amazon Bedrock; Develop Agentic AI orchestration solutions using AWS Agent Core; Implement and manage production-grade MLOps platforms using SageMaker Pipelines, Model Monitor, and Feature Store; Establish AI platform standards, onboarding frameworks, and deployment best practices; Provide platform documentation and technical guidance to use case delivery teams; Ensure compliance with Responsible AI principles and regulations including HIPAA, GDPR, GxP, FDA, and EU AI Act.
Seniority
Senior, hands-on IC
