AI Architect

Location: Bengaluru

Job Title:

AI   Architect

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 Dev Ops 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.