Ignatiuz
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Information Technology Support Services · 51 to 200 Employees · Exton, US
Ignatiuz is a forward-thinking technology solutions provider committed to driving digital transformation and empowering businesses across industries to thrive in the modern digital landscape. With a wide range of expertise, including AI & ML model development, cloud consulting, business intelligence, and robotic process automation, we deliver innovative and scalable solutions tailored to meet the unique needs of our clients. Our mission is to help organizations embrace cutting-edge technologies, optimize operations, and achieve sustainable growth. At Ignatiuz, we prioritize building long-term partnerships by focusing on excellence, collaboration, and delivering measurable results. Backed by a team of highly skilled professionals, we combine strategic vision with technical expertise to solve complex business challenges and propel our clients toward success. Whether it’s transforming existing systems or creating entirely new digital experiences, we are dedicated to helping businesses stay competitive and drive future growth.
Hiring: Engineering
What employees say
+ Good teammates only for personal level. Professionally everyone are frauds
− Owners are family members. They do fraud with clients. Everything is fake, owner say fake it, if you can't make it. Management is liar.
More reviews on the company profile.
Interview experience · Project Manager
First round is an HR round followed by Technical Round. Basic question has been asked based on the profile you have applied for. However, the interview isn't difficult to crack.
Easy difficulty · Indore · 4 reports
More interview insightsJob description
Overview
Position Summary We are seeking an experienced AI Infrastructure and Platform Architect to design, optimize, and manage scalable AI infrastructure and platforms across on-premises, cloud, and hybrid environments.
Responsibilities
- Design and manage AI infrastructure for model training, fine-tuning, inference, computer vision, Generative AI, and LLM workloads.
- Define CPU, GPU, RAM, VRAM, storage, networking, cooling, and power requirements.
- Build and maintain AI platforms using Linux, Docker, Kubernetes, GPU orchestration, and cloud services.
- Implement monitoring, alerting, backup, disaster recovery, security, and operational best practices.
- Support production deployment, troubleshooting, and continuous platform improvement.
Qualifications
- AI infrastructure and GPU-based computing
- NVIDIA GPU architecture, CUDA, cuDNN, NCCL, and TensorRT
- Linux administration
- Docker and Kubernetes
- PyTorch, TensorFlow, Hugging Face, or similar frameworks
- Cloud and on-premises AI platforms
- Infrastructure sizing and capacity planning
- Performance monitoring and troubleshooting
- High-performance storage and networking
- MLOps, CI/CD, automation, and Infrastructure as Code
- Monitoring tools such as Prometheus, Grafana, NVIDIA DCGM, or OpenTelemetry
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a related field.
- Strong overall experience in infrastructure, cloud, platform engineering, architecture, or AI systems.
- A minimum of 3 years of direct, hands-on experience specifically working with AI infrastructure, machine learning platforms, GPU environments, or production AI workloads.
- Proven experience designing, deploying, supporting, or optimizing production AI systems.
- Strong problem-solving, troubleshooting, communication, and technical documentation skills.
- The candidate's total professional experience may be significantly higher. However, at least three years should involve genuine, relevant, hands-on work with AI systems and platforms.
- Added Advantage
- Preference will be given to candidates who have experience with:
- AI solution architecture
- Large Language Models and Generative AI
- RAG and agentic AI systems
- Distributed model training
- Computer vision and edge AI
- Model-serving platforms
- AI performance benchmarking
- FinOps and infrastructure cost optimization
- High Performance Computing environments
- Candidates should be able to explain their direct contribution to AI projects, including:
- AI infrastructure or platforms they designed or managed
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Job application FAQ
Last updated 19 September 2026
- How do I apply for AI Infrastructure and Platform Architect at Ignatiuz?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Ignatiuz may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Infrastructure and Platform Architect role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Infrastructure and Platform Architect remote or on-site in Indore, Madhya Pradesh?
- This listing is marked hybrid with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI Infrastructure and Platform Architect role at Ignatiuz?
- This is a mid-level AI Infrastructure and Platform Architect role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.