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.
- Solid experience designing and delivering enterprise-scale AI platforms.
- Deep expertise in Enterprise Architecture, GCP/Google Cloud, and cloud-native solutions.
- Solid 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.

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