Architect (Google Cloud, AI/ML)

TL;DR

Architect (Google Cloud, AI/ML): Designing and implementing advanced Google Cloud and AI solutions with an accent on enterprise AI positioning, agentic AI consulting, and modern data platform leadership. Focus on building production-grade AI applications, architecting scalable data platforms, and leading complex cloud transformation initiatives.

Location: Must be based in Bengaluru

Company

hirify.global is an experience innovation company that partners with leading global brands to drive digital transformation through data, AI, creativity, and technology.

What you will do

• Lead the design and presentation of innovative AI-first solutions leveraging Gemini, Google Agentspace, and Vertex AI.
• Architect multi-agent systems and evangelize Gemini Enterprise capabilities for complex business challenges.
• Design and implement production-grade AI solutions including Gemini models, Vertex AI Platform, and Generative Media tools.
• Lead the design of scalable modern data architectures using BigQuery, AlloyDB, Looker, Dataflow, and Pub/Sub.
• Manage enterprise integration, migration projects, including greenfield cloud foundations and legacy database modernization.
• Provide technical leadership, ensuring code quality, security compliance, and operational excellence for cloud engineering teams.

Requirements

• Education: Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• Experience: Minimum 5+ years hands-on experience architecting Google Cloud solutions in enterprise environments, and 3+ years in customer-facing technical roles.
• Deep expertise across Google Cloud's core services (Compute, Networking, Security & IAM, Operations).
• Expert-level proficiency in Terraform for Infrastructure-as-Code.
• Production experience with Google Cloud databases (AlloyDB, Cloud SQL, Spanner, Firestore, Bigtable) and Cloud Storage.
• Hands-on experience with Gemini & Generative AI, prompt engineering, RAG, and Vertex AI Platform.
• Expertise in modern data architectures including BigQuery, Dataflow, Pub/Sub, and Looker.
• English: Excellent spoken and written English is mandatory.

Nice to have

• Google Cloud Professional Cloud Architect certification (must obtain within first 6 months).
• Additional Google Cloud certifications (Data Engineer, ML Engineer, Developer, Security Engineer).
• Familiarity with Google Agentspace and Agent Development Kit (ADK).

Culture & Benefits

• Competitive compensation package and hybrid work options (country-dependent).
• Access to cutting-edge tools, training, and industry experts for learning and development.
• Values-driven culture fostering creativity, diversity, autonomy, and seamless global collaboration.
• Commitment to building an inclusive culture where everyone feels supported to grow and thrive.

Hiring process

• Application review by the Talent Acquisition team.
• If aligned, the team will reach out for next steps.