Architect / Principal, AI ML Engineer

Job not on LinkedIn

🕒 May 25

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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3Pillar Global

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Private Equity Round on 2021-10

SaaS • Enterprise • Artificial Intelligence

3Pillar Global is a modern application strategy, design, and engineering firm that specializes in delivering strategic software development initiatives for various industries. They offer a range of services, including application technology strategy, digital product engineering, data and analytics, and artificial intelligence development. 3Pillar Global focuses on helping organizations transform their bold ideas into breakthrough solutions by leveraging cutting-edge technologies such as generative and multimodal AI. They work with partners and clients across multiple sectors, including healthcare, financial services, insurance, media, and information services, to solve complex technology challenges and deliver high-performing results.

📋 Description

• 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

• 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

• 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