TRPD-26-05974
AI for Infrastructure Engineer (Gemini Enterprise)
Hiring an AI-for-Infrastructure engineer to help apply Google Gemini Enterprise capabilities to infrastructure/operations use cases (e.g., automation, copilots, and AI-assisted troubleshooting) in an enterprise environment. The role likely involves integrating Gemini with existing infra tooling, building secure and reliable AI workflows, and operating them in production with strong focus on access control, observability, and governance.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
Hiring an AI-for-Infrastructure engineer to help apply Google Gemini Enterprise capabilities to infrastructure/operations use cases (e.g., automation, copilots, and AI-assisted troubleshooting) in an enterprise environment. The role likely involves integrating Gemini with existing infra tooling, building secure and reliable AI workflows, and operating them in production with strong focus on access control, observability, and governance.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
Google Gemini
LLM
GenAI
AI for Infra
Infrastructure Automation
DevOps
SRE
LLMOps
MLOps
APIs
GCP
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Google Gemini Enterprise
AI/LLM integration for enterprise use cases
Infrastructure/Operations fundamentals (systems, networking, cloud basics)
API integration and automation
Security and access control considerations for enterprise AI
Preferred
Nice to Have
Google Cloud Platform (GCP)
MLOps/LLMOps concepts (deployment, monitoring, evaluation)
Prompt engineering and retrieval-augmented generation (RAG) basics
Observability tooling (logging/metrics/tracing)
SRE/DevOps practices (CI/CD, incident response)
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for AI for Infrastructure Engineer (Gemini Enterprise)
One page, about two minutes. We only ask for what we actually need to have a first conversation.