Solution Architect – AI Infrastructure & Private Cloud

Job Description

Role Overview :

As a Solution Architect – AI Infrastructure & Private Cloud, you will be at the forefront of designing and implementing cutting-edge AI and Machine Learning infrastructure solutions for our clients. You will collaborate closely with data scientists, machine learning engineers, and DevOps teams to translate complex business requirements into scalable, secure, and high-performance cloud-based architectures. Your expertise will directly impact our clients’ ability to accelerate their AI initiatives, drive innovation, and achieve significant business outcomes through advanced analytics and intelligent applications. This role is based in Bangalore or Pune.

Key Responsibilities :

– Design and implement end-to-end AI infrastructure solutions, encompassing compute, storage, networking, and security, tailored to specific client needs and workloads.

– Develop and maintain comprehensive architectural blueprints, standards, and best practices for AI/ML infrastructure deployments across various cloud platforms (AWS, Azure, GCP) and private cloud environments.

– Collaborate with data scientists and machine learning engineers to optimize infrastructure for model training, inference, and deployment, ensuring optimal performance and resource utilization.

– Lead the evaluation and selection of appropriate hardware and software technologies, including GPUs, specialized processors, and AI/ML platforms, based on performance, cost, and scalability considerations.

– Drive the adoption of MLOps and DevOps principles to automate the deployment, monitoring, and management of AI/ML models in production, ensuring reliability and efficiency.

– Provide technical leadership and mentorship to junior architects and engineers, fostering a culture of innovation and continuous learning within the team.

– Engage with clients to understand their business challenges and translate them into technical requirements, presenting architectural solutions and recommendations in a clear and concise manner.

– Stay abreast of the latest advancements in AI/ML infrastructure, cloud technologies, and industry best practices, proactively identifying opportunities to improve our solutions and services.

Required Skillset :

– Demonstrated ability to design and implement scalable, secure, and high-performance AI infrastructure solutions on AWS, Azure, GCP, or private cloud environments.

– Proven expertise in architecting and deploying AI/ML workloads, including model training, inference, and deployment, using technologies such as Kubernetes, Docker, and serverless computing.

– Deep understanding of MLOps and DevOps principles, with experience in automating the deployment, monitoring, and management of AI/ML models in production.

– Strong knowledge of hardware and software technologies relevant to AI/ML, including GPUs, specialized processors, AI/ML platforms, and data storage solutions.

– Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

– Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

– 10-20 years of experience in Solution Architecture, Cloud Architecture, or a related role, with a focus on AI/ML infrastructure.

Are you interested in this position?

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