AI Architect

Job Title: AI Architect

Location: PAN India (client's Office Locations)

Work Mode: Hybrid

Notice Period: Immediate to 30 days

Yrs of exp/Level: 10-20 Yrs, SA/M/SM Level

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.