Senior Architect – GCP , GenAI & Agentic Systems

Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP).

The architect will be responsible for defining AI solution strategies, driving technical direction, establishing architecture standards, and ensuring secure, scalable, and production-ready AI systems that deliver measurable business outcomes.

The ideal candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands-on expertise in modern AI ecosystems

Mandatory Skills

AI / ML

Machine Learning lifecycle management

Deep Learning concepts

Model evaluation frameworks

Experiment design and A/B testing

NLP and text analytics Generative AI

Large Language Models (LLMs)

Prompt Engineering

RAG architectures

Vector databases

AI Agents and Multi-Agent Systems

Copilot and Conversational AI development Cloud & GCP

Vertex AI

BigQuery

Cloud Storage

Dataflow

Cloud Functions

Cloud Run

GKE

Pub/Sub

IAM and Security Controls MLOps / LLMOps

CI/CD for ML

Model Registry

Version Control

Automated Evaluation

Model Deployment

Monitoring & Observability

Drift Detection

Rollback Frameworks

Architecture

Enterprise Architecture

Solution Architecture

Microservices

API-driven Integration

Distributed Systems

Event-driven Architecture

Required Experience

14+ years of overall IT experience.

5+ years in AI/ML solution architecture.

3+ years in Generative AI and LLM-based solution delivery.

Proven experience delivering production-grade AI applications on cloud platforms.

Experience designing enterprise RAG and Agentic AI solutions.

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