We’re Hiring | GCP AI, GenAI & Agentic AI Architect | Pan India

We are looking for an experienced AI Solution Architect to lead the design and implementation of enterprise-scale AI, Generative AI, and Agentic AI solutions on Google Cloud Platform (GCP) .

The ideal candidate will have strong expertise in AI/ML architecture, Generative AI, LLM-based applications, Agentic AI, Google Cloud services, and enterprise solution design . This role will involve working closely with customers, business stakeholders, engineering teams, and leadership to translate business requirements into scalable, secure, and production-ready AI solutions.

Location: Pan India

Experience: 8+ Years in Data / ML / Cloud Architecture, including 3+ years of experience in AI/GenAI solution design

Employment Type: Full-time

Key Responsibilities

- Design and lead end-to-end AI and Generative AI architectures on Google Cloud Platform (GCP) .
- Architect scalable AI/ML platforms leveraging Google Vertex AI and other relevant GCP services.
- Define architecture for model training, fine-tuning, deployment, inference, monitoring, and lifecycle management .
- Design and implement LLM-powered enterprise applications using contemporary Generative AI patterns.
- Architect Retrieval-Augmented Generation (RAG) solutions, including document ingestion, chunking, embeddings, vector search, retrieval, and response generation.
- Design prompt orchestration and management strategies for LLM-based applications.
- Implement and architect tool/function calling capabilities for LLM applications.
- Evaluate and define multi-model strategies , selecting appropriate foundation models based on business requirements, cost, latency, performance, and use case.
- Design Agentic AI systems involving task-oriented agents, planners, tool usage, memory, decision-making, and autonomous workflows.
- Architect multi-agent and agent-based solutions for complex enterprise business processes.




- Ensure AI solutions are designed for scalability, reliability, security, performance, and cost optimization .

Pre-Sales & Client Engagement

- Lead AI/GenAI discovery workshops with customers and business stakeholders.
- Understand customer business challenges and translate them into AI/GenAI solution architectures .
- Support RFPs, RFIs, proposals, solution presentations, and technical estimations .
- Create architecture diagrams, technical proposals, solution blueprints, and proof-of-concept approaches.
- Present AI/GenAI solutions to senior leadership and CXO-level stakeholders .
- Collaborate with sales, consulting, engineering, and delivery teams to ensure alignment between proposed architecture and implementation.

AI Governance & Responsible AI

- Define and implement AI governance frameworks and responsible AI practices .
- Establish appropriate AI safety guardrails, security controls, and access controls .
- Design solutions for model observability, monitoring, evaluation, and performance tracking .
- Address enterprise requirements related to data privacy, compliance, security, risk management, and regulatory requirements .
- Define processes for monitoring model quality, hallucinations, bias, latency, cost, and overall application performance.

Mandatory Skills

- 8+ years of experience in Data, ML, Cloud, or Solution Architecture.
- 3+ years of hands-on experience in AI/GenAI solution architecture or design .
- Strong expertise in Google Cloud Platform (GCP) .
- Hands-on experience with Google Vertex AI .




- Strong understanding of AI/ML model training, deployment, inference, and lifecycle management .
- Strong experience designing LLM-based applications .
- Hands-on understanding of RAG architectures .
- Experience with prompt orchestration and tool/function calling .
- Understanding of multi-model LLM strategies .
- Strong knowledge of Agentic AI architectures , task-oriented agents, planners, and autonomous workflows.
- Experience designing enterprise-grade AI solutions with focus on scalability, security, performance, and reliability.
- Strong client-facing and stakeholder management skills.
- Experience in pre-sales, discovery workshops, RFPs, and executive-level presentations .
- Good understanding of AI governance, responsible AI, model observability, and compliance .

Good to Have

- Google Cloud Professional Machine Learning Engineer certification.
- Google Cloud Professional Cloud Architect certification.
- Experience with advanced Vertex AI capabilities and GenAI services .
- Exposure to multi-agent architectures and enterprise AI platforms .
- Experience integrating AI solutions with enterprise applications and APIs.
- Knowledge of cloud-native architecture, microservices, APIs, and event-driven architectures.

Ideal Candidate The ideal candidate is a hands-on AI Solution Architect and client-facing technology leader who can bridge the gap between business requirements and technical implementation. You should be equally comfortable designing an enterprise GenAI architecture, discussing technical trade-offs with engineering teams, conducting customer discovery sessions, and presenting solutions to CXO-level stakeholders .

If you have experience building production-grade AI, GenAI, and Agentic AI solutions on GCP and can lead architecture from discovery through delivery , we would like to hear from you.

📌 GCP AI, GenAI & Agentic AI Architect (Bangalore Metropolitan Area)
🏢 Berribot
📍 Bangalore Metropolitan Area