Agentic AI Architect (GCP)

Responsibilities Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems. Develop and optimize ML models, pipelines, and orchestration logic. Drive technical strategy, tooling, and infrastructure decisions. Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.). Must Have Technical/Functional Skills Programming Languages: Proficiency in Python is essential. Agentic AI: Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML. Generative AI: Hands-on experience with generative AI models, RAG (Retrieval Augmented Generation) architecture, and Natural Language Processing (NLP). Cloud Platforms: Familiarity with Google Cloud Platform (GCP). Data Engineering: Proficiency in data preprocessing and feature engineering. Version Control: Experience with GitHub for version control. Data Science Practices: Skills in building models, testing/validation, and deployment. Collaboration: Experience working in an Agile framework. RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search. Google Cloud Platform. Roles & Responsibilities Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems. Develop and optimize ML models, pipelines, and orchestration logic. Drive technical strategy, tooling, and infrastructure decisions. Architect and implement agentic AI systems leveraging GCP services (Vertex AI, BigQuery, Cloud Functions, Pub/Sub, etc.). Salary & Benefits Salary Range: $130,000 - $150,000 per year Discretionary Annual Incentive Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans Family Support: Maternal & Parental Leaves Insurance Options: Auto & Home Insurance, Identity Theft Protection Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement Time Off: Vacation, Time Off, Sick Leave & Holidays Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing #J-18808-Ljbffr Tata Consultancy Services