Description

Job Description

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.

· Strong experience architecting secure and scalable AI platforms

Key Skills

Education

Any Graduate