Senior Architect – GCP , GenAI & Agentic Systems

Job Summary (List Format):

• - Lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions.
• - Define AI solution strategies and drive technical direction for projects.
• - Establish architecture standards and ensure alignment with business goals.
• - Architect secure, scalable, and production-ready AI systems using Google Cloud Platform (GCP).
• - Oversee the full Machine Learning lifecycle, including model evaluation, experiment design, and A/B testing.
• - Lead initiatives in NLP, text analytics, Large Language Models (LLMs), Prompt Engineering, RAG architectures, and Conversational AI.
• - Implement and manage MLOps/LLMOps processes such as CI/CD, model deployment, monitoring, and drift detection.
• - Ensure integration with GCP services including Vertex AI, BigQuery, Cloud Storage, Dataflow, and others.
• - Create and maintain enterprise and solution architectures, leveraging microservices, APIs, and event-driven designs.
• - Collaborate with stakeholders, providing technical leadership and guidance.
• - Deliver measurable business outcomes through innovative AI solutions.
• - Maintain strong security and compliance practices across AI platforms.
• - Mentor teams and promote best practices in modern AI ecosystems.