Jobs · cutshort
AI Infrastructure Architect
Ironwood Digital · Remote · Indexed today
About the role
Design and manage AI infrastructure and cloud-based solutions.
Education: •Bachelor’s degree in Computer Science, IT Infrastructure Engineering, or a related field •Certifications in cloud computing (AWS, Azure, GCP), MLOps, or DevOps (preferred) Experience: •8+ years of experience in IT Infrastructure, Cloud Computing, or AI Systems Architecture •Hands on experience in AI infrastructure design, cloud-based AI solutions, or MLOps •Expertise in managing AI workloads across cloud and hybrid environments. •Proven track record in scaling AI infrastructure for l
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Why this role stands out
- ★Pays more than 83% of comparable ml roles paid in INR in India
- ★Hiring worldwide — no location constraint
Responsibilities
- ▸Design AI infrastructure
- ▸Manage AI workloads
- ▸Scale AI infrastructure
Must-have skills
- ▸it infrastructure
- ▸cloud computing
- ▸ai systems architecture
- ▸ai infrastructure design
- ▸cloud-based ai solutions
- ▸mlops
- ▸8+ years experience
Nice-to-have skills
- ▸aws
- ▸azure
- ▸gcp
- ▸devops
FAQ
Is the AI Infrastructure Architect role at Ironwood Digital remote?+
This AI Infrastructure Architect position is listed as remote (Remote).
What is the salary for the AI Infrastructure Architect role at Ironwood Digital?+
The listing states 2700000-3780000 INR.
What seniority level is this AI Infrastructure Architect role?+
This is a senior level position.
What skills does the AI Infrastructure Architect role require?+
Key requirements include it infrastructure, cloud computing, ai systems architecture, ai infrastructure design, cloud-based ai solutions, mlops, 8+ years experience.
How do I apply for the AI Infrastructure Architect role at Ironwood Digital?+
Use the "Apply on cutshort" button to open the original posting on cutshort, where you can submit your application directly to Ironwood Digital.