PRINCIPAL AI ARCHITECT

Job Description: As an AI Architect, you will be responsible for owning the end-to-end AI architecture, which includes designing, building, deploying, scaling, and governing AI solutions. Your role will involve defining secure, compliant, and enterprise-grade architectures tailored specifically for banking workloads. Additionally, you will lead a team of AI engineers, providing them with architectural guidance and technical direction to ensure successful project delivery. Key Responsibilities: - Design Agentic AI and GenAI platforms, RAG pipelines, and MLOps frameworks - Lead cloud-native deployments utilizing CI/CD practices, monitoring tools, and cost optimization strategies - Ensure data governance, security, compliance, and audit readiness are maintained throughout AI projects - Collaborate with business stakeholders to understand their use cases and translate them into scalable AI solutions Qualifications Required: - Proficiency in Python programming - Experience with cloud platforms such as AWS, Azure, and Azure Databricks Additional Details: The company emphasizes a collaborative environment where you will have the opportunity to work with cutting-edge technologies in the AI domain. You will play a crucial role in shaping the AI architecture and influencing strategic decisions to drive innovation within the organization. Job Description: As an AI Architect, you will be responsible for owning the end-to-end AI architecture, which includes designing, building, deploying, scaling, and governing AI solutions. Your role will involve defining secure, compliant, and enterprise-grade architectures tailored specifically for banking workloads. Additionally, you will lead a team of AI engineers, providing them with architectural guidance and technical direction to ensure successful project delivery. Key Responsibilities: - Design Agentic AI and GenAI platforms, RAG pipelines, and MLOps frameworks - Lead cloud-native deployments utilizing CI/CD practices, monitoring tools, and cost optimization strategies - Ensure data governance, security, compliance, and audit readiness are maintained throughout AI projects - Collaborate with business stakeholders to understand their use cases and translate them into scalable AI solutions Qualifications Required: - Proficiency in Python programming - Experience with cloud platforms such as AWS, Azure, and Azure Databricks Additional Details: The company emphasizes a collaborative environment where you will have the opportunity to work with cutting-edge technologies in the AI domain. You will play a crucial role in shaping the AI architecture and influencing strategic decisions to drive innovation within the organization.