Gemini Enterprise Agent Platform Solution Architects

Randstad Digital; Bengaluru Urban; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Randstad Digital seeks an experienced GCP AI, GenAI & Agentic AI Architect in India to design and govern enterprise AI architectures on Google Cloud. You will lead data pipelines, model development, and deployment while guiding presales and client engagements.

Focused on GenAI, LLM integration, and agent frameworks, the role requires 8+ years in data/ML/cloud roles and strong communication with executives. This position emphasizes security, governance, and cost control within enterprise AI

Qualifications

• 8+ years in data, ML, or cloud architecture roles
• 3+ years in AI/ML or GenAI solution design
• Experience in client-facing or presales solutioning role
• Ability to articulate business value of AI and GenAI solutions
• Strong communication skills with technical and executive stakeholders
• Certifications preferred: Google Cloud ML Engineer and Cloud Architect

Responsibilities

• Design end-to-end AI and GenAI architectures on Google Cloud Platform
• Architect LLM-based applications with RAG, prompt orchestration, and multi-model strategies
• Design Agentic AI systems with task-oriented agents and autonomous workflows
• Define As-Is / To-Be AI architectures and modernization roadmaps
• Support RFPs, proposals, estimates, and AI platform solution narratives

Skills

AI/ML design

Presales experience

Client facing

Consulting skills

Executive communication

Education

Google Cloud Professional Machine Learning Engineer

Google Cloud Professional Cloud Architect

Tools

Vertex AI

BigQuery

Dataflow

Dataproc

Cloud Run

Job description

Job Title: GCP AI, GenAI & Agentic AI Architect

Location: India

Role Summary

The GCP AI, GenAI & Agentic AI Architect will be responsible for designing and

shaping enterprisegrade AI, Generative AI, and Agentic AI solutions on Google

Cloud Platform. The role focuses on translating business problems into scalable,

secure, and governable AI architectures, supporting presales solutioning,

architecture definition, and early delivery alignment. The architect acts as a

technical authority across ML platforms, GenAI systems, LLM integration, and

autonomous agent frameworks.

Key Responsibilities

1. AI, GenAI & Agentic Architect

Design endtoend AI and GenAI architectures on GCP, covering data

pipelines, model development, inference, orchestration, and monitoring.

Architect LLMbased applications, including RetrievalAugmented

Generation (RAG), prompt orchestration, multimodel strategies, and

tool/function calling.

Design Agentic AI systems, including taskoriented agents, planners,

toolusing agents, and autonomous workflows.

Define AsIs / ToBe AI architectures, AI modernization roadmaps, and

Strong expertise in GCP AI stack (Vertex AI, model training, deployment,

inference)

Gemini Enterprise for Customer Experience (GECX). Create agentic AI

solution walkthroughs, and executive presentations.

Translate business use cases into practical AI, GenAI, and Agentic AI

solutions with clear value articulation.

Support RFPs, proposals, estimates, and AI platform solution narratives.

Technology Leadership

3. Architecture solutions using GCP AI and data services such as Vertex AI,

BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Cloud Run.

Guide LLM integration using Google models and thirdparty LLMs, ensuring

portability and extensibility.

Define model lifecycle management, MLOps, monitoring, and inference

optimization.

Define guardrails for responsible AI, including bias mitigation, hallucination

control, access controls, and auditability.

and cost control.

Support enterprise frameworks for AI risk management and compliance.

Ensure AI solutions meet security, governance, compliance, and data

privacy requirements.

Required Experience & Skills

Experience

8+ years in data, ML, or cloud architecture roles

3+ years in AI/ML or GenAI solution design

Experience in clientfacing or presales solutioning role

Consulting & Commercial Skills

Ability to articulate business value of AI and GenAI solutions

Strong communication skills with technical and executive stakeholders

Certifications (Preferred)

Google Cloud Professional Machine Learning Engineer

Google Cloud Professional Cloud Architect