AI Architect

Job Title: AIArchitect

Job Summary

We are seeking a highly experienced Architect with excellent hands-on skills to lead GenAI

based development and implementation experience for the clients. The candidate should have at

least 10 years of experience in a technical development role and possess deep expertise in Azure

/ AWS cloud-based architectures, containerization, orchestration, observability and with a focus

on AI. The role requires a deep understanding of the latest AI technologies and techniques, as

well as the ability to apply them to create advanced generative systems.

Key Responsibilities

• Architect and develop innovative generative AI solutions with a focus on scalability and

efficiency on the Azure /AWS cloud platform.

• Implement and maintain containerized AI applications using Docker and manage

deployments using Kubernetes.

• Design and set up observability frameworks for LLMs to monitor performance metrics,

system health, and usage patterns.

• Collaborate with cross-functional teams to ensure seamless integration of AI capabilities

into various products and services.

• Lead performance tuning, troubleshooting, and optimization of generative AI systems.

• Develop best practices for secure, scalable, and maintainable AI deployments on

Azure/AWS.

• Guide and mentor a team of AI engineers in adopting and implementing cutting-edge

technologies and practices.

• Stay updated with the latest advancements in AI, particularly in the areas of generative

models and cloud computing.

• Advocate for responsible AI development, ensuring ethical considerations and privacy

compliance are embedded in our AI systems.

Qualification

• A minimum of 10 years of hands-on experience in software development with a strong

focus on AI and Azure / AWS cloud architectures.

• Solid programming skills in Python, with expertise in AI/ML frameworks and strong

knowledge in Azure OpenAI / Bedrock

• Excellent knowledge in GenAI development related frameworks to develop and

implement Generative AI based solutions.

• In-depth knowledge of Azure/AWS cloud services and management tools.

• Proficient with Docker and Kubernetes for orchestrating containerized applications.

• Demonstrable experience with implementing and monitoring Large Language Models.

• Experience with implementing CI/CD pipelines and familiarity with DevOps practices.

• Strong analytical and problem-solving skills, with the ability to lead complex technical

initiatives.Preferred Skills

• Azure/AWS certifications (e.g., Azure Solutions Architect, Azure Developer, Azure AI

Engineer, AWS Solutions Architect, AWS Developer, AI Practitioner).

• Experience with LLM observability tools (e.g., Langfuse, Datadog, etc).

• Knowledge of machine learning model lifecycle management and MLOps principle.

• Knowledge of machine learning model lifecycle management and MLOps principle.