AI ML Architect

Responsibilities

• Define end-to-end architecture for AI/ML and Gen AI systems including data pipelines, model training/inference, and MLOps.
• Serve as a strategic technical advisor 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 space and recommend adoption strategies.
• Mentor technical teams and guide solution architects, data engineers, and 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 12+ years of industry experience in machine learning or data science, with a track record of delivering impactful projects; a Ph.D. is highly desirable.