Gen AI Architect
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Job Location:
Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
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.
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.
