Description

Role Overview

We are looking for a high-impact AI & GenAI Solution Architect to lead cutting-edge AI, data, and GenAI initiatives on Google Cloud. This role blends deep technical expertise + customer-facing solutioning + strategic ownership.
 

Key Responsibilities
AI, GenAI & Data Solutioning
Design and implement end-to-end AI & GenAI solutions on Google Cloud
Build PoCs, pilots, and demos using Vertex AI & Gemini
Implement advanced patterns like RAG, LLM workflows, and AI agents
Translate business challenges into scalable AI solutions with measurable outcomes
Develop reusable accelerators, frameworks, and assets
 

Sales Support & Customer Engagement
Act as AI technical advisor in client workshops & architecture discussions
Support RFPs, strategic deals, and executive engagements
Clearly explain AI architectures, feasibility, and ROI to stakeholders
Partner with sales teams to shape AI-led solution narratives
 

Google Cloud Collaboration
Work closely with Google Cloud AI & Data specialists
Participate in joint innovation programs & early adoption initiatives
Align with evolving Google Cloud AI roadmap
 

Solution Strategy & Ownership
Own end-to-end Google Cloud solution lifecycle
Build repeatable, scalable, and market-ready offerings
Drive AI-led GTM strategies and industry solutions
Continuously improve solutions based on market feedback & trends
 

Internal Leadership
Mentor teams on AI, data, and architecture best practices
Enable sales & delivery teams on AI capabilities
Collaborate across service lines in a matrix organization
 

Technical Skills
AI & GenAI
Hands-on experience with Vertex AI, Gemini, LLM architectures
Strong experience in RAG & agent-based systems
Knowledge of MLOps, governance, and AI lifecycle
Rapid prototyping using Python & APIs
Data Platforms
Expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
Experience with real-time & batch data pipelines
Strong understanding of data + AI integration
Application & Cloud
Strong Python & API integration skills
Experience with microservices, GKE, Cloud Run
Exposure to DevOps, CI/CD, Infrastructure as Code
 

What We’re Looking For
Strong problem-solving & analytical mindset
Ability to simplify complex AI concepts for business stakeholders
High ownership in fast-paced, ambiguous environments
Strong collaboration across sales, engineering & partners
Hands-on, execution-focused attitude
 

Qualifications
Bachelor’s/Master’s in Engineering or Computer Science
Google Cloud Certifications (Preferred):
Professional Data Engineer
Professional Cloud Architect
AI/ML/Data certifications are a plus
 

Must-Have Skills
GCP Cloud
AI / GenAI
BigQuery
Dataflow
RAG

Key Skills

Education

Any Graduate