Remote AI Architect — Finance Transformation Leader

capco

United States

Remote

USD 41,000 - 138,000

Full time

14 days+

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Benefits offered by this job

Private health care

25 vacation days

Monthly cafeteria allowance €50

Fully paid meal vouchers

Multisport card

Smartphone + Laptop

Volunteer days

Well-being programs

Career growth opportunities

Discretionary bonus potential

Permanent contract

Job summary

Capco is seeking an AI Architect to shape the future of financial services for world-leading institutions. You will translate complex client problems into target architectures, roadmaps and implementation requirements, building reusable patterns and reference architectures.

You will collaborate with business, IT and management across cloud environments, craft AI governance and safe multi-agent solutions, and guide senior stakeholders through tech roadmaps while contributing to Capco's growth and

Qualifications

Several years of experience in the architecture and delivery of AI solutions in Finance. Experience with Asset Management / Investment Banking preferred.
Experience with Agent Builder, M365 and PowerBI Copilot, Cowork,
A deep understanding of modern data platforms like Azure AI Foundry, Databricks, Copilot Studio and Cowork, and their practical applications in technology and finance.
Proficiency in AgentOps in common cloud environments. Knowledge of Azure preferred.
Knowledge of both MCP/API-first development practices and traditional service-based architecture.
Experience with tracing, monitoring, and evaluation systems like Langfuse or Weights & Biases.
Knowledge of cloud platforms and experience designing cloud-based AI solutions.
Understanding of AI governance principles and practices.
Excellent verbal and written communication skills for collaboration across technical and non-technical teams.
Fluency English (German is a big advantage)

Responsibilities

Bridge business, IT, and management to translate requirements into scalable AI architectures.
Be the high-level advisor for C-suite stakeholders translating their challenges into technical AI roadmaps.
Design safe and precise memory architectures, compliant multi-agent systems, and tool/skill workbenches.
Design and oversee implementation of tracing-, monitoring-, and evaluation systems for Agentic AI.
Jointly with Risk Management/Compliance define and guide the implementation of guardrails and security measures to ensure safe and compliant AI usage.
Lead the documentation and communication of technical concepts effectively.