About the Client
Our client is an international consulting and technology company specializing primarily in banking, financial services, and insurance.
In brief, its areas of expertise include:
IT Consulting – providing technology and business consulting services to banks and financial institutions.
Software Development – developing and modernizing banking systems and applications.
Digital Transformation – driving the digitalization of financial services and processes.
Capital Markets – delivering solutions for trading, investment banking, and financial markets.
Risk & Compliance – managing risks and ensuring compliance with financial regulations.
Testing & Quality Assurance – testing complex banking and financial systems.
About the Role
We are looking for an experienced AI Architect to support your client's data-platform delivery in a regulated financial services environment. You will shape the architecture connecting priority sources to a governed Azure foundation, transforming data into the UI Enterprise Data Model and enabling reusable data products for APIs, Power BI, analytics and AI. You will combine target-state architecture with hands-on delivery, guide engineers and establish governance, integration and operational patterns.
Responsibilities
-Act as the bridge between business, IT, Risk Management / Compliance and engineering to translate AI use cases and functional / non-functional requirements into scalable, secure and governed architectures
-Design target architectures and reusable patterns for agentic AI, including memory, tools / skills, data access and integration with your client's governed data platform
-Design and oversee AI / MLOps lifecycle capabilities, including monitoring, tracing, evaluation, operational readiness and controlled transition into production
-Define and guide API-first and MCP-based integration patterns, including secure access to data and services through the project's API / MCP gateway
-Jointly with Risk Management / Compliance, evolve AI governance, risk, security and guardrail requirements for agentic AI and high-impact use cases
-Support enablement of Microsoft Copilot Cowork, Agent Mode, Agent Builder and Copilot Studio in line with the target architecture and governance framework
Requirements
-You can translate ambiguous business needs into target architectures, roadmaps and implementation requirements and communicate effectively with senior stakeholders
-You have several years of experience in the architecture and delivery of AI solutions in financial services; experience with -Asset Management / Investment Banking is preferred
-You have strong practical understanding of Azure AI Foundry and Databricks and how governed data platforms support AI, analytics and agentic use cases
-You have hands-on experience with Microsoft Copilot capabilities including Cowork, Agent Mode, Agent Builder, Copilot Studio and Power BI
-You understand agentic AI architecture patterns, AI / MLOps lifecycle requirements, monitoring and evaluation, and the transition of AI solutions into controlled operations
-You have experience with MCP / API-first development practices and designing secure integrations between AI services, data products and enterprise applications
-You understand AI governance, risk, guardrails, access control and data-protection considerations for high-impact use cases; familiarity with Okta and Microsoft Purview is advantageous
-Fluency English
Nice to Have Skills
n/a