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Ai solution architect (aipx & balance sheet management)

Slough
Randstad Digital
Solution architect
Posted: 12h ago
Offer description

AI Solution Architect (AIPX & Balance Sheet Management)


Role Overview

As an AI Solution Architect, you will be the technical visionary leading cross-functional engineering teams to design and build data-intensive platforms and AI-powered solutions. You are responsible for the architectural integrity of the end-to-end data and AI lifecycle—specifically for Balance Sheet Management (BSM)—ensuring that models move seamlessly from ingestion and research into scalable, high-performance production environments.


Key Responsibilities

* System Blueprinting: Create robust technical blueprints for data pipelines and high-quality derived data products that align with AIPX architecture and performance standards.
* Technical Leadership: Provide strategic direction across cloud engineering, data architecture, and AI/ML capabilities to ensure solutions are secure, well-governed, and scalable.
* Engineering Excellence: Establish and enforce best practices for the automated SDLC, including DevOps/MLOps pipelines, coding standards, and rigorous testing frameworks.
* Stakeholder Synthesis: Translate complex business requirements from product owners and stakeholders into actionable, high-level technical plans and architectural roadmaps.
* AI Innovation: Drive the evaluation of emerging technologies, lead proofs of concept (PoCs), and embed responsible AI principles across all financial solution designs.

Required Knowledge & Experience

* AI/ML Mastery: Strong knowledge of AI techniques and tools, with demonstrated experience applying Gen AI/LLMs to specific financial or corporate use cases.
* Regulated Delivery: Proven track record of delivering production-grade solutions within highly regulated organizations (e.g., Tier 1 Banks or Government).
* Advanced Orchestration: Knowledge of Agentic Workflows and orchestration frameworks to drive automated decisioning and complex system behaviors.
* Data Intensive Expertise: Deep understanding of data modeling, cloud-native architectures, and big application development within a banking tech ecosystem.
* Security & Vetting: Must hold and maintain an active SC Clearance.

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