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Job Title: Network Architect – AI Data Center Infrastructure

Workplace Type: On-Site

Location: Mumbai

Job Type: Full-Time

About Us:

We are a well-funded stealth-mode AI startup on a mission to redefine global computational infrastructure by establishing a cutting-edge AI data center offering GPU compute services. Our state-of-the-art infrastructure will support global customers across industries, enabling seamless access to high-performance GPU compute for AI, machine learning, and deep learning workloads.

If you’re passionate about designing robust and scalable network architectures for next-generation AI data centers, this is the opportunity to join a dynamic team at the forefront of technological innovation.

About the Role:

We are seeking a highly skilled Network Architect to lead the design, deployment, and management of the network infrastructure for our AI data center. You will play a critical role in ensuring high availability, low latency, and scalability for the data center’s operations, supporting global GPU compute workloads.

Key Responsibilities:

Network Architecture Design:

• Design and implement the network architecture for a high-performance AI data center, ensuring scalability, security, and fault tolerance.
• Plan and design multi-tier network architectures to support distributed GPU workloads, storage, and compute nodes.

High-Performance Networking:

• Optimize network configurations for low-latency, high-bandwidth communication between compute and storage nodes.
• Implement high-speed interconnects (e.g., InfiniBand, RDMA, Ethernet fabrics) for GPU workloads.

Infrastructure Deployment:

• Oversee the deployment of network hardware, including switches, routers, firewalls, and load balancers.
• Implement SDN (Software-Defined Networking) solutions to streamline traffic flow and management.

Global Connectivity:

• Design secure and reliable global connectivity solutions for seamless access by customers across geographies.
• Collaborate with ISPs and telecom providers for WAN optimization and global network reach.

Security and Compliance:

• Establish robust network security protocols, including firewalls, VPNs, and intrusion detection/prevention systems (IDS/IPS).
• Ensure the network complies with industry standards, including GDPR, HIPAA, and ISO 27001.

Monitoring and Maintenance:

• Implement network monitoring and performance tools to ensure uptime and reliability.
• Define SLAs and troubleshoot network-related issues to minimize downtime.

Collaboration:

• Work closely with infrastructure, storage, and software teams to align network design with the data center's operational requirements.
• Provide technical guidance to engineers and stakeholders during project execution.

Innovation and Optimization: =

• Stay updated on emerging technologies like NVMe-over-Fabrics, 400G Ethernet, and AI-optimized networking solutions.
• Propose upgrades to improve performance, reduce costs, and optimize energy efficiency.

What We’re Looking For:

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Networking, or a related field.
• Relevant certifications (e.g., CCIE, JNCIE, or AWS/Azure/GCP networking certifications) are highly desirable.

Experience:

• 8+ years of experience in network architecture, with a focus on data centers and high-performance networking.
• Proven experience designing and deploying network solutions for large-scale, distributed environments.

Technical Expertise:

• Networking Protocols: In-depth knowledge of TCP/IP, BGP, OSPF, MPLS, VXLAN, and EVPN.
• Data Center Networking: Hands-on experience with high-speed networking technologies such as InfiniBand, RDMA, and 400G Ethernet.
• Hardware and Tools: Proficiency with Cisco, Juniper, Arista, and Mellanox network devices.
• Cloud Integration: Familiarity with hybrid cloud and multi-cloud networking solutions (AWS, GCP, Azure).
• Network Automation: Experience with automation tools like Ansible, Terraform, and Python scripting.
• Security: Expertise in firewalls, VPNs, IDS/IPS, DDoS mitigation, and Zero Trust Architecture.
• Monitoring and Analytics: Experience with tools like Nagios, Zabbix, SolarWinds, and NetFlow.

Soft Skills:

• Strong problem-solving and analytical skills to tackle complex network challenges.
• Excellent communication skills to articulate technical concepts to non-technical stakeholders.
• Proven leadership and team collaboration abilities.

What We Offer:

• Opportunity to design and implement a state-of-the-art AI data center from the ground up.
• A competitive salary and benefits package.
• A dynamic work environment that encourages innovation and professional growth.

Ready to Build the Future of AI Infrastructure?

Join us to shape the backbone of tomorrow’s AI-powered world!

• Supporting the research and development of machine learning models for various applications.
• Assisting in the collection, cleaning, and annotation of large datasets.
• Implementing and testing AI algorithms under the guidance of experienced professionals.
• Documenting research findings, code, and project progress.
• Collaborating with team members to troubleshoot and resolve technical challenges.
• Learning and applying advanced AI concepts, including deep learning, natural language processing, and computer vision.
• Participating in team meetings and contributing innovative ideas.

• Develop and implement comprehensive AI ethics frameworks, policies, and best practices for the organization.
• Conduct ethical impact assessments for new AI products, features, and research initiatives.
• Advise AI development teams on identifying and mitigating ethical risks related to bias, fairness, privacy, accountability, and transparency.
• Collaborate with legal, policy, and engineering teams to ensure compliance with emerging AI regulations and ethical standards.
• Stay abreast of the latest research, discourse, and challenges in AI ethics and responsible innovation.
• Develop training materials and conduct workshops to educate employees on AI ethics principles.
• Serve as an internal and external thought leader on AI ethics issues.
• Facilitate discussions and build consensus on complex ethical dilemmas related to AI.
• Contribute to the design of AI systems that prioritize human values and societal well-being.
• Monitor and evaluate the ethical implications of deployed AI systems.

• Advanced degree (Master's or Ph.D.) in Ethics, Philosophy, Law, Computer Science, Public Policy, or a related interdisciplinary field with a focus on technology ethics.
• Minimum of 6 years of experience working in AI ethics, responsible innovation, or technology policy.
• Strong understanding of machine learning concepts and the technical aspects of AI systems.
• In-depth knowledge of ethical theories and frameworks, particularly as they apply to technology.
• Experience in conducting ethical risk assessments and developing mitigation strategies.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to engage diverse stakeholders.
• Familiarity with AI governance, regulations, and standards is highly desirable.
• Ability to work independently and lead initiatives in a remote setting.
• A passion for ensuring that AI is developed and used for the benefit of humanity.

• Develop, refine, and enforce ethical frameworks and policies for AI development and deployment.
• Conduct thorough ethical risk assessments and bias audits for AI models and algorithms.
• Collaborate closely with AI researchers, engineers, legal teams, and product managers to integrate ethical considerations into the entire AI lifecycle.
• Advise on issues of fairness, accountability, transparency, privacy, and societal impact of AI systems.
• Research emerging ethical challenges and best practices in AI.
• Develop training materials and deliver workshops on AI ethics to internal teams.
• Engage with external stakeholders, policymakers, and academic institutions on AI ethics topics.
• Contribute to the company's thought leadership in responsible AI.

• Advanced degree (Master's or Ph.D.) in Philosophy, Ethics, Law, Computer Science, or a related field with a specialization in AI ethics or technology ethics.
• Minimum of 5 years of experience focusing on AI ethics, technology policy, or responsible innovation.
• Deep understanding of AI/ML concepts and their ethical implications.
• Proven experience in developing ethical guidelines, conducting risk assessments, and advising on complex ethical issues.
• Excellent research, analytical, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to articulate complex ethical concepts clearly.
• Demonstrated ability to work effectively in a remote, collaborative environment.
• Experience with global AI regulations and standards is a plus.

• Develop and implement AI ethics policies, principles, and guidelines.
• Conduct ethical impact assessments for AI projects and products.
• Collaborate with AI/ML teams to integrate ethical considerations into the development lifecycle.
• Provide expert advice and training on responsible AI development and deployment.
• Monitor emerging ethical issues, regulatory changes, and industry best practices in AI.
• Engage with external stakeholders, including academics, policymakers, and civil society, on AI ethics topics.
• Contribute to research and thought leadership in the field of AI ethics.
• Develop frameworks for mitigating bias, ensuring fairness, and promoting transparency in AI systems.
• Advocate for ethical decision-making across the organization.

• Master's or Ph.D. in Ethics, Philosophy, Law, Social Sciences, Computer Science with an ethics focus, or a related field.
• 5+ years of experience in AI ethics, responsible AI, or a related field.
• Deep understanding of AI and Machine Learning concepts and applications.
• Proven experience in developing ethical frameworks, policies, and guidelines.
• Familiarity with AI bias, fairness, accountability, and transparency issues.
• Excellent analytical, research, and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex ethical concepts clearly.
• Experience in stakeholder engagement and cross-functional collaboration.
• Knowledge of global AI regulations and ethical standards.

• Assist in the design, development, and implementation of AI algorithms and models.
• Write clean, efficient, and well-documented code in languages such as Python, Java, or C++.
• Collaborate with senior engineers on data preprocessing, feature engineering, and model training.
• Conduct research on new AI techniques and technologies to identify potential applications.
• Assist in the testing and debugging of AI systems and applications.
• Contribute to the development of documentation and technical reports.
• Participate in team meetings and contribute to technical discussions.
• Learn and apply best practices in software development and AI engineering.
• Gain exposure to cloud platforms and MLOps principles.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong understanding of fundamental AI and Machine Learning concepts.
• Proficiency in at least one programming language such as Python, Java, or C++.
• Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
• Excellent analytical and problem-solving skills.
• Strong desire to learn and adapt to new technologies.
• Ability to work independently and effectively in a remote team environment.
• Good communication and collaboration skills.
• A genuine passion for artificial intelligence and its applications.

• Design, develop, and implement advanced machine learning models and algorithms.
• Conduct research and experiments to explore new AI techniques and approaches.
• Preprocess and analyze large datasets for model training and evaluation.
• Optimize model performance for accuracy, efficiency, and scalability.
• Deploy machine learning models into production environments.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay current with the latest advancements in AI and Machine Learning research.
• Document research findings, methodologies, and results.
• Troubleshoot and resolve issues related to ML systems.
• Contribute to the development of intellectual property and publications.

• Master's or Ph.D. in Computer Science, AI, ML, or a related quantitative field.
• Proven experience in developing and deploying machine learning models.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of algorithms, data structures, and statistical modeling.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication abilities.
• Ability to work independently and as part of a research team.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.