AI Infrastructure Architect

About Company :

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation.

We guide customers from whats now to whats next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

Job Title : AI Infrastructure Architect.

Location : Pan India.

Work Mode : Hybrid.

Experience : 8+ years (7 years Relevant).

Job Type : Contract to hire (C2H).

Notice Period : Immediate joiners.

Mandatory Skills : Ai Infrastructure, Cloud Infrastructure, Infrastructure as Code (IaC), Python, Architecture, Ai Infra ,Terraform/ CloudFormation.

Additional Skills :

- Architect the Future Lead the end-to-end design and development of our AI infrastructure encompassing hardware software networking and multi cloud environments.

- Innovate and Evaluate Assess select and implement the bestinclass technologies tools and frameworks eg TensorFlow PyTorch Kubernetes Docker to build and maintain our AI platforms.

- Optimize for Performance Engineer and implement infrastructure that scales seamlessly with our evolving AIML needs continuously monitoring and optimizing for both performance and cost efficiency.

- Champion Security and Compliance Define and enforce infrastructure standards and best practices ensuring unwavering compliance with security policies data protection regulations and ethical AI principles.

- Build Data Driven Pipelines Collaborate on the architecture and implementation of highly efficient data pipelines for our AI models from ingestion and storage to processing and management.

- Lead and Inspire Provide technical leadership and mentorship to cross functional teams fostering a culture of excellence and best practices in AI infrastructure.

- Solve Complex Challenges Diagnose and resolve intricate infrastructure issues ensuring the high availability and reliability of all our AI systems.

- Stay Ahead of the Curve Keep your finger on the pulse of the latest advancements in AI machine learning and cloud computing driving innovation within the organization.

- Document for Success Create and maintain comprehensive documentation for all AI infrastructure designs implementations and operational procedures.

What You'll Bring :

Education : A Bachelors or Masters degree in Computer Science Engineering or a related field.

Experience :

- 15 years of experience in infrastructure architecture.

- A minimum of 3 to 5 years of dedicated experience in designing and building AI specific infrastructure.

- Proven success in deploying scalable and secure AI solutions in cloud environments.

- Extensive hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.

Technical Prowess :

- Proficiency with the command line and experience with both cloud native and on-premise data center deployments.

- A strong understanding of deep learning architectures and the latest developments in Large Language Models LLMs.

- Expertise in NVIDIA hardware and software including performance tuning and diagnostics.

- Hands-on experience with GPU systems including performance testing tuning and benchmarking.

- Proficiency in programming languages such as Python.

- A deep understanding of cloud service models IaaS PaaS SaaS and cloud native architectures.

- In-depth knowledge of networking storage and security best practices in a cloud context.

- Experience with Infrastructure as Code IaC tools like Terraform or CloudFormation.

- Familiarity with DevOps and MLOps principles and practices.

Soft Skills :

- Exceptional problem-solving and analytical abilities with a data driven approach.

- Excellent communication and interpersonal skills capable of articulating complex technical concepts to diverse audiences.

- Proven ability to lead mentor and collaborate effectively within a team environment.

- A strategic mindset with the ability to align technical solutions with overarching business goals.

- A proactive adaptable and continuous learner who thrives in a dynamic technological landscape.