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Architect / Principal, AI ML Engineer

4 days, 15 hours ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
CI/CD Docker Generative AI Kubeflow Kubernetes Microservices MLflow MLOps Python PyTorch SageMaker Scikit-learn TensorFlow XGBoost
Apply Now
3Pillar Global

3Pillar Global

3Pillar Global is an innovative product development company that builds breakthrough software products to power digital businesses. They offer a range of services including product strategy, management, user experience design, and software engineering ...

Internet Software & Services
1K-5K
Founded 2006
$26M raised
View All Jobs 54

Description

  • Define end-to-end architecture for AI/ML, Generative AI, Agentic AI, and MCP systems, including data pipelines, model training/inference, and MLOps.
  • Serve as a strategic advisor to clients by leading solution design discussions, presenting architectures, and representing 3Pillar in client-facing interactions.
  • Architect scalable solutions using cloud-native AI platforms such as Azure ML, AWS SageMaker, or GCP Vertex AI.
  • Lead the integration of Generative AI into enterprise applications using LLM APIs or open-source models.
  • Design retrieval-augmented generation (RAG) systems using vector databases such as Pinecone, Weaviate, or FAISS.
  • Guide teams on MLOps practices for CI/CD, model versioning, monitoring, and automated retraining.
  • Evaluate build-vs-buy decisions and benchmark AI tools and platforms.
  • Assess emerging AI/ML technologies and recommend adoption strategies.
  • Mentor technical teams, solution architects, and AI/ML engineers while strengthening organizational expertise.
  • Collaborate with leadership and cross-functional teams to align machine learning strategy with business objectives and identify new use cases.

Requirements

  • Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
  • 15+ years of industry experience in machine learning, data science, or AI, with a strong IT services background and a track record of delivering impactful projects.
  • Ph.D. is highly desirable.
  • Strong understanding of AI architecture patterns, including RAG, Agent AI, MCP-based systems, and prompt orchestration.
  • Deep experience with Python and ML libraries such as scikit-learn, XGBoost, PyTorch, and TensorFlow.
  • Hands-on experience with Generative AI APIs such as OpenAI, Claude, and Gemini, plus prompt engineering, embeddings, and fine-tuning.
  • Experience designing enterprise AI systems with MLOps tools such as MLflow, Kubeflow, and SageMaker Pipelines.
  • Familiarity with APIs, microservices, and containerization technologies such as Docker and Kubernetes.
  • Experience in data governance, model risk management, and compliance.
  • Strong leadership, communication, strategic thinking, and stakeholder-influence skills.
  • Good understanding of software product development and how to integrate AI/ML components into a software product.
  • Experience working with very large datasets in a production environment.
  • Published research in top-tier conferences or journals is a plus.

Benefits

  • Remote-first work environment with flexible options to work from home, the office, or a hybrid blend.
  • Global team environment with opportunities to learn from colleagues around the world.
  • Wellbeing-focused culture, including a dedicated annual wellbeing cycle.
  • Fitness offerings and mental health plans, depending on country.
  • Generous time off.
  • Career growth and development opportunities across projects, offerings, and industries.
  • Competitive salary of $140,000 to $180,000 per year.

Interested in this position?

Apply directly on the company website

Apply Now

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