Negotiable
Undetermined
Remote
Remote
Summary: The AI / Cloud Application Architect role focuses on designing cloud-native applications specifically for the banking sector. The position requires extensive experience in application architecture and client-facing advisory roles, particularly within financial services. Candidates should possess strong expertise in multi-cloud environments and containerization technologies. Familiarity with AI/ML application architecture is highly preferred, along with an understanding of regulatory considerations in financial environments.
Key Responsibilities:
- Design and implement application architecture with a focus on cloud-native solutions.
- Engage in client-facing advisory roles, effectively communicating with stakeholders.
- Utilize multi-cloud environments, particularly Azure and AWS, in application development.
- Leverage containerization and orchestration technologies such as Kubernetes and Docker.
- Integrate AI/ML application architecture and intelligent systems where applicable.
- Ensure compliance with regulatory, security, and data governance standards in financial services.
Key Skills:
- Strong expertise in application architecture and cloud-native design.
- Proven experience in banking or financial services.
- Ability to operate in client-facing advisory roles with executive presence.
- Deep experience in multi-cloud environments (Azure, AWS preferred).
- Strong background in containerization and orchestration (Kubernetes, Docker).
- Familiarity with AI/ML application architecture or intelligent systems integration.
- Understanding of regulatory, security, and data governance considerations.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Position: AI / Cloud Application Architect (Banking)
Remote
12+ months
Required Experience
- Application architecture, with strong cloud-native design expertise
- Proven experience within banking or financial services (non-negotiable)
- Demonstrated ability to operate in client-facing, advisory roles, clear communicator with executive presence
- Deep experience across multi-cloud environments (Azure, AWS preferred)
- Strong background in containerization and orchestration (Kubernetes, Docker)
- Familiarity with AI/ML application architecture or intelligent systems integration is highly preferred
- Understanding of regulatory, security, and data governance considerations in financial environments