Architect, AI/ML

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Google Cloud Platform
• Kubernetes
• Microservices
• Open Source
• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• 100% 3Pillar funded medical and dental coverage for employees and their dependents
• Unlimited PTO
• Company paid disability and life insurance
• Generous Parental Leave