Principal AI ML Engineer

Job description

About the Role We are looking for a Principal AI/ML Engineer to lead the design, development, and scaling of Generative AI and Agentic AI systems on Google Cloud Platform (GCP). This is a leadership role where you will define architecture, set engineering standards, and drive enterprise-scale AI solutions using LLMs, RAG, and multi-agent systems. You will work closely with cross-functional teams to build scalable, secure, and high-performing AI platforms. Key Responsibilities Architecture & Strategy • Define architecture for GenAI, RAG, and agent-based systems • Drive technical decisions on tools, platforms, and design patterns • Establish standards for AI systems including scalability, safety, and cost Solution Design & Delivery • Lead development of production-grade GenAI solutions using Vertex AI • Build and scale agent-based systems with planning, tools, and memory • Design secure and scalable cloud architectures on GCP Platform & Engineering Excellence • Build reusable frameworks, prompts, and AI components • Implement LLMOps practices (CI/CD, monitoring, cost optimization) • Enable teams through reusable tools and best practices Security & Responsible AI • Ensure data privacy, governance, and compliance • Implement guardrails, monitoring, and audit mechanisms Leadership • Mentor engineers and lead design reviews • Drive collaboration across Product, Security, and SRE teams Must-Have Skills • Strong experience in Generative AI, LLMs, and RAG architectures • Hands-on experience with Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, Pub/Sub) • Expertise in Agentic AI frameworks and multi-agent systems • Strong programming skills in Python (preferred) • Experience with LLMOps / MLOps, CI/CD, and automation • Good knowledge of data engineering and distributed systems • Experience with cloud security, IAM, and API management Good to Have • Experience with Apigee, Okta, or API security frameworks • Exposure to Document AI, Dataplex, or vector databases • Knowledge of multi-tenant architectures and cost optimization Qualifications • Bachelors or masters degree in computer science or related field • 12+ years of experience in software, data, or ML engineering • Proven experience building enterprise-scale AI platforms Why Join Us • Lead cutting-edge AI and GenAI innovation • Work on high-impact, enterprise-scale platforms • Opportunity to define architecture and influence strategy • Collaborative and forward-thinking engineering environment