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3Pillar Global

Architect / Principal, AI ML Engineer

3Pillar Global

AI/ML Architect directing AI initiatives and aligning them with business goals in a tech-focused environment.

Posted 5/25/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps
  • Serve as a strategic advisor / consultant to clients, leading solution design discussions
  • Architect scalable solutions using cloud-native AI tools (Azure ML, AWS SageMaker, or GCP Vertex AI)
  • Lead the integration of Generative AI into components / features leveraging LLMs into enterprise applications using APIs
  • Design retrieval-augmented generation (RAG) systems with vector databases
  • Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
  • Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space
  • Mentor technical teams and guide solution architects, AI/ML engineers
  • Ensure ethical and responsible AI practices

Requirements

What you’ll need
  • Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience
  • Strong grasp of AI architecture patterns (RAG, Agent AI, MCP based systems, prompt orchestration)
  • Deep experience with Python, ML libraries (scikit-learn, XGBoost, PyTorch, TensorFlow)
  • Hands-on with Gen AI APIs (OpenAI, Claude, Gemini), prompt engineering, embeddings, and fine-tuning
  • Experience designing enterprise AI systems with MLOps (MLflow, Kubeflow, SageMaker Pipelines)
  • Familiarity with APIs, microservices, and containerization (Docker, Kubernetes)
  • Experience in Data Governance, Model Risk Management, and compliance
  • Extensive knowledge of machine learning theory, algorithms, and methodologies
  • Strong leadership and communication skills

Benefits

Comp & perks
  • Flexible work environment
  • Global team learning opportunities
  • Well-being focus with fitness and mental health plans
  • Accelerated career growth and development opportunities
  • Equal opportunity employer with commitment to diversity

ATS Keywords

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Hard Skills & Tools
AI architecture patternsMLOpsPythonscikit-learnXGBoostPyTorchTensorFlowGen AI APIsprompt engineeringmachine learning theory
Soft Skills
leadershipcommunicationmentoringstrategic advising