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Principal Architect, AI/ML
Principal Architect, AI/ML
The Principal Architect, AI/ML defines and architects end-to-end AI/ML and Generative AI systems, including data pipelines, model training/inference, and MLOps. This role involves acting as a strategic technical advisor to clients, leading solution design, and guiding teams on cutting-edge AI technologies and ethical practices. The architect will also mentor technical teams and drive cross-functional collaboration to align AI strategies with business objectives.
About the role
About 3Pillar Global
3Pillar Global is a leading developer of innovative digital products. We are looking for a highly skilled and experienced Principal Architect specializing in AI/ML to join our team in Noida. This role is crucial for driving the architectural vision and implementation of cutting-edge AI and Generative AI solutions for our clients.
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
- Proven experience (10+ years suggested based on Principal Architect level) in designing and implementing complex AI/ML and Gen AI architectures.
- Deep expertise in cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI).
- Strong understanding and practical experience with LLMs and RAG systems.
- Proficiency in MLOps practices and tools.
- Excellent client-facing and communication skills.
- Ability to lead and mentor technical teams.