[Remote] Architect / Principal, AI ML Engineer

Note: The job is a remote job and is open to candidates in USA. 3Pillar is a global technology company focused on delivering innovative solutions. They are seeking an Architect / Principal, AI ML Engineer to define AI/ML architecture, serve as a strategic advisor to clients, and lead the integration of Generative AI into enterprise applications.

Responsibilities

• 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, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value
• 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 (OpenAI, Gemini and others) or open source models like LLama
• Design retrieval-augmented generation (RAG) systems with vector databases (Pinecone, Weaviate, FAISS and similar)
• Guide teams on MLOps frameworks for CI/CD, model versioning, monitoring, and automated retraining
• Evaluate build-vs-buy decisions and benchmark AI tools/platforms
• Evaluate emerging technologies and trends in AI, ML, Gen AI, Agentic AI space and recommend adoption strategies
• Mentor technical teams and guide solution architects, AI/ML engineers
• Ensure ethical and responsible AI practices including bias detection, interpretability, and governance
• Act as a subject matter expert, providing guidance and mentorship to junior colleagues and strengthen the expertise in the organization
• Collaborate with leadership to align machine learning strategies with overall business objectives
• Represent the organization at industry conferences, workshops, and events
• Drive cross-functional collaboration to identify opportunities for applying machine learning to business challenges

Skills

• Master's degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience with strong IT services background in machine learning, data science, AI, with a track record of delivering impactful projects; a Ph.D. is highly desirable
• 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, with the ability to influence stakeholders at all levels of the organization
• Demonstrated ability to think strategically and drive innovation
• Good undertaking of Software Product Development and how to integrate AI ML components into a software product
• Experience in working with huge datasets in a production environment
• Published research in top-tier conferences or journals is a plus

Benefits

• Flexible work environment – whether it's the office, your home, or a blend of both
• Remote-first approach
• Part of a global team, learning from top talent around the world and across cultures
• Big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing
• Fitness offerings
• Mental health plans (country-dependent)
• Generous time off
• Professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries
• Equal opportunity employer
• Values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally

Company Overview

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