Principal AI Platform Engineer | Enterprise Multi-Agent Systems | Generative AI | RAG | MLOps | 5x Author | Army Veteran | Girl Dad

I design and ship AI systems that create business outcomes: multi-agent pipelines, RAG over messy enterprise data, evals and guardrails, and UI teams actually use. I build production-ready AI — not demos — with measurable impact, clear guardrails, and low operational drag. Remote only. Flexible across time zones.

• Architect and operationalize agentic AI and MLOps pipelines for deploy, monitor, retrain.
• Build production AI agents, deep learning models, and retrieval‑augmented generation (RAG).
• Design end-to-end data pipelines for large, distributed systems and integrate proprietary + third‑party data into secure AI microservices.
• Lead research‑to‑production initiatives that push technical and operational edges while preserving governance and auditability.

• Multiple agents for PwC DeepRisk that automate complex risk intelligence analysis.
• Cut infrastructure costs by ~30% while boosting deployment speed by ~60% through cloud and CI improvements.
• Implemented ethics, governance, and compliance controls in production.
• Guided framework, orchestration, and rollout decisions across teams to align AI work to revenue, efficiency, and decision quality.
• Mentored engineers and analysts for repeatable, high-quality delivery.

• AI Strategy & Architecture: agentic AI, LLM orchestration, evals & guardrails, NLP, CV
• MLOps & CI/CD: LangChain, MLflow, Docker, GitHub Actions, Azure DevOps
• Cloud & Distributed: Azure AI, Azure ML, Kubernetes, AWS, GCP
• Data Engineering: ETL, Pandas, Pydantic, Azure Blob Storage, data lakes
• Optimization & Serving: vector search, RAG, ONNX, NVIDIA Triton
• Governance & Risk: security, auditability, regulatory alignment

Top skills: MLOps • AI Architecture • ML Engineering

• Epiphany — https://github.com/aurelius-in/Epiphany
  (Agent orchestration, retrieval patterns, and production pipelines.)
• MyRiskAgent — https://github.com/aurelius-in/MyRiskAgent
  (Risk-focused agent prototypes and RAG experiments.)
• ACE-Lab — https://github.com/aurelius-in/ACE-Lab
  (Architecture & evaluation tooling for agentic systems.)
• perception-lab — https://github.com/aurelius-in/perception-lab
  (CV and perception components for real-world systems.)
• EdgeSight-QA — https://github.com/aurelius-in/EdgeSight-QA
  (QA and evaluation frameworks for edge and enterprise data.)

• The Agentic AI Week: Ship Weekly. Prove Daily. Scale Safely
• The AI Architect's Handbook: Designing Scalable and Intelligent Systems
• The AI-Driven Organization: Strategies for Success
• Artificial Intelligence in Robotics: Transforming the Future
• AI Strategy and Implementation: A Practical Guide for Leaders

Open to Staff or Principal IC roles where I can own platform, retrieval, agents, evals, safety, and the UI that ties it together. Remote only. Flexible worldwide hours. I consult and build under Reliable AI Network, Inc. for companies that want production readiness, not just demos.

• LinkedIn: https://www.linkedin.com/in/oellison/
• AI Portfolio: https://github.com/aurelius-in/
• Consulting / Company: Reliable AI Network, Inc.
• Schedule a chat: https://calendly.com/oliveraellison/15min
• Email: oliver@reliableAInetwork.com