Technical Architect

Technical Architect- Machine Learning

EXP- 6-14 Years

Role Overview
We are looking for a senior AI/ML Architect to lead the design and governance of scalable, secure, and enterprise-grade AI platforms, with strong expertise in GCP, Generative AI, and Agentic AI.

Key Responsibilities

• Design scalable, secure, and highly available enterprise AI/ML architectures.
• Define architectures for Generative AI, Agentic AI, multi-agent systems, RAG, and autonomous workflows.
• Architect knowledge management, semantic search, model governance, and AI security frameworks.
• Develop enterprise architectures for traditional ML, forecasting, recommendations, and computer vision.
• Establish MLOps/LLMOps standards covering model lifecycle, CI/CD, evaluation, monitoring, and prompt engineering.
• Define cloud integration, legacy modernization, compliance, and security patterns.
• Lead architecture reviews, solution design, technical strategy, and pre-sales activities.
• Partner with senior client stakeholders and mentor architects and engineering teams.
• Create reusable frameworks, reference architectures, and technical best practices.

Required Qualifications

• 6-15 years of experience in AI/ML, including 5+ years in architecture/technical leadership.
• Strong experience designing and delivering enterprise-scale AI platforms.
• Deep expertise in Enterprise Architecture, GCP/Google Cloud, and cloud-native solutions.
• Strong knowledge of GenAI, Agentic AI, RAG, multi-agent systems, ML, and computer vision.
• Experience with AI security, governance, compliance, MLOps, and LLMOps.
• Strong stakeholder management and experience working with senior/C-level leadership.
• Masters degree in Computer Science, Engineering, or a related field, or equivalent expertise.