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Urgent! Solutions Architect Job Opening In Chennai – Now Hiring L&T-Cloudfiniti
Job Purpose
Role Summary:
Responsible for architecting, designing, and implementing GPU-enabled, High Performance Computing (HPC), and AI/ML platform solutions.
This role involves building scalable, secure, and optimized platforms to support enterprise AI, ML/DL workloads, simulation, and large-scale data analytics.
The architect will define the infrastructure strategy, workload placement, performance optimization, and managed services roadmap for GPU and HPC platforms within the Data Centre (DC) business.
Role Description
Key Responsibilities:
· Platform Architecture & Design :
Architect GPU and HPC infrastructure platforms for AI/ML training, inference, and HPC workloads.
Design GPUaaS (GPU-as-a-Service) models, including on-demand, reserved, and burst GPU clusters.
Integrate AI/ML frameworks (TensorFlow, PyTorch, KubeFlow, JupyterHub, etc.) into enterprise-ready stacks.
· Infrastructure & Workload Optimization :
Ensure performance tuning, resource scheduling, and workload orchestration across HPC clusters and GPU nodes.
Optimize for distributed training, model parallelism, and storage bandwidth (NVMe, Lustre, GPFS, Ceph).
· AI/ML Platform Enablement :
Provide cloud-native environments with containerized ML workflows (Kubernetes, Docker, Singularity).
Build and manage model hosting & inference platforms (REST APIs, containerized inference servers).
· Security & Compliance :
Implement data security, encryption, access control, and compliance frameworks for sensitive AI/HPC workloads.
Architect air-gapped solutions for government/defense workloads when required.
· Technology Integration & Innovation :
Evaluate and integrate next-gen GPUs (NVIDIA H200/A100/L40S, AMD MI300, etc.), HPC accelerators, and AI chipsets.
Enable hybrid/hyperconverged AI infrastructure (GPU + CPU + storage).
· Customer & Business Enablement :
Collaborate with data scientists, researchers, and enterprise customers to align platform capabilities with business outcomes.
Define GPU/HPC platform services catalog and managed service offerings.
· Automation & DevOps :
Implement MLOps pipelines , infrastructure as code (Terraform, Ansible), and workload scheduling (SLURM, Kubernetes).
Experience & Educational Requirements
Qualifications and Experience
EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required)
BE/B-Tech or equivalent with Computer Science or Electronics & Communication
RELEVANT EXPERIENCE: (no.
of years of technical, functional, and/or leadership experience or specific exposure required)
Experience : 8–12 years overall IT experience, with 5+ years in HPC/AI/ML/GPU platform architecture .
Technical Expertise :
Strong background in GPU architecture (NVIDIA, AMD) and HPC systems .
Proficiency in AI/ML frameworks (TensorFlow, PyTorch, Keras, MXNet, Hugging Face).
Experience with distributed training and orchestration frameworks (KubeFlow, MLflow, Ray, Horovod).
Knowledge of parallel computing, MPI, CUDA, ROCm, and GPU drivers .
Familiarity with storage technologies for HPC/AI (NVMe, Lustre, GPFS, Ceph, Object Storage).
Cloud & Hybrid AI Platforms : Hands-on with GPU cloud offerings (AWS Sagemaker, Azure ML, GCP Vertex AI) and on-prem HPC cluster management .
Automation & MLOps : Experience with CI/CD for ML (MLOps) , workflow automation, and infrastructure as code .
Security & Governance : Knowledge of data privacy, DPDP Act, compliance (ISO, PCI-DSS, HIPAA) , and secure GPU cluster design.
Certifications (Preferred) : NVIDIA Certified AI Specialist, Azure AI Engineer, AWS ML Specialty, or HPC-related certifications.
Soft Skills : Strong stakeholder communication, ability to collaborate with data scientists, researchers, and enterprise IT teams , and capability to align technical solutions to business objectives.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Solutions Architect Potential: Insight & Career Growth Guide
Real-time Solutions Architect Jobs Trends in Chennai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Solutions Architect in Chennai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 138393 jobs in India and 3059 jobs in Chennai. This comprehensive analysis highlights market share and opportunities for professionals in Solutions Architect roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! L&T-Cloudfiniti is currently hiring and seeking a Solutions Architect to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at L&T-Cloudfiniti adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Solutions Architect Jobs India varies, but the pay scale is rated "Standard" in Chennai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Solutions Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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