AI Agent Platform Engineer

Job Description

• Design and build agentic platforms, agent harnesses, and agent factories from the ground up.
• Develop and implement AI-driven application solutions and agentic workflows for enterprise environments.
• Design and deliver scalable, secure, and resilient cloud architectures.
• Engineer and manage cloud infrastructure using Infrastructure as Code (IaC) and CI/CD pipelines.
• Deploy, operate, and optimize cloud-native applications using Kubernetes.
• Integrate AI-powered solutions with enterprise systems, legacy infrastructure, and existing technology platforms.
• Ensure compliance with enterprise architecture standards, security requirements, and governance frameworks.
• Collaborate with client architects, engineering leaders, and cross-functional teams to deliver enterprise-grade solutions.

Qualifications

Required Qualifications

• Strong hands-on software engineering and cloud delivery experience
• Expertise in Kubernetes, cloud architecture, and Infrastructure as Code (IaC)
• Proven experience designing and building agentic platforms, agent harnesses, or agent factories from scratch
• Strong experience in AI application solution design and agentic workflows
• Experience designing, developing, and deploying scalable applications in complex enterprise environments
• Understanding of enterprise architecture, security, governance, and regulatory requirements
• Experience integrating AI solutions with legacy infrastructure and enterprise systems
• Strong technical communication and collaboration skills with senior architects and engineering leadership

Good-to-Have Qualifications

• Experience in banking, financial services, or other highly regulated industries, including mainframe and core banking platform integration
• Experience modernizing legacy applications and integrating them with cloud-native and AI-powered solutions

Additional Information