Senior Consultant

Role Overview We are seeking a visionary and hands-on GCP AI Architect to lead the strategic design, orchestration, and implementation of our next-generation enterprise AI platform. In this role, you will bridge the gap between high-level business strategy and technical execution, designing production-grade architectures built natively on Google Cloud Platform.

Key Responsibilities AI Strategy & System Architecture Design Multi-Agent Frameworks: Architect scalable, multi-tenant agentic platforms leveraging Google Cloud’s ecosystem to handle distributed agent workloads, function calling, and asynchronous process orchestration.

Generative AI & LLM Engineering: Define the blueprint for integrating Gemini Enterprise models, establishing operational boundaries for Retrieval-Augmented Generation (RAG) pipelines, context-window management, and semantic caching.

Machine Speed Operations: Establish production-grade MLOps pipelines using Vertex AI (including Model Garden, Pipelines, and Feature Store) to govern the complete lifecycle from data ingestion to active model serving.

Technical Requirements & Qualifications Experience Minimum 5+ years of dedicated cloud architecture experience, with at least 2-3 years focused strictly on deploying production-level AI, Machine Learning, or Natural Language Processing (NLP) systems.

Proven track record of taking a Generative AI application from a prototype (PoC) stage into a scaled, self-healing enterprise production environment.

Core Technical Stack Expertise GCP AI Stack: Deep technical mastery of Vertex AI, Gemini API, Dialogflow CX, Agent Assist, and Vertex AI Vector Search.

Languages & Frameworks: Expert proficiency in Python or R, with hands-on experience in orchestration frameworks such as LangChain, LlamaIndex, or AutoGen.

DevOps/MLOps Tools: Extensive practice with CI/CD tools, Git, Docker, Kubernetes, and Terraform

Education & Certifications Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.

Highly Preferred

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