Principal AI Solutions Architect

nasdaq

Greenwood

Híbrido

GBP 100.000 - 150.000

Jornada completa

Hace 4 días
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Equal opportunity employer
Rewards package
Equity where applicable

Descripción de la vacante

Nasdaq London seeks a Principal AI Solutions Architect to shape enterprise AI architecture, including agentic workflows and LLM integration. You will design scalable Java-based systems, collaborate with security and compliance teams, and mentor senior engineers.

The role blends cloud, hybrid, and on-prem environments and reports to the VP of Software Engineering. The ideal candidate has extensive distributed systems experience and a track record in enterprise AI strategy, governance, and

Formación

  • Experience designing large-scale distributed systems (5+ years).
  • Proven AI architecture patterns including LLM integration and RAG.
  • Cloud-native/hybrid architecture across AWS/Azure/GCP.
  • Strong communication across senior leadership and teams.
  • Knowledge of security, governance, and compliance in enterprises.

Responsabilidades

  • Define and lead enterprise AI architecture strategy and agentic workflows.
  • Architect scalable Java/Spring Boot solutions with REST APIs and microservices.
  • Engage in enterprise forums to align AI initiatives with standards.
  • Define governance, observability, and responsible AI controls.
  • Mentor engineers and drive architectural consistency across products.

Conocimientos

Architectural leadership
Cloud architecture
AI strategy
Strong communication
Mentoring

Herramientas

Java
Spring Boot
Spring AI
REST APIs
Kubernetes
CI/CD
Vector databases
OpenAI / LangGraph

Descripción del empleo

As a Principal AI Solutions Architect reporting to VP of Software Engineering, you'll play a central role in shaping the next generation of intelligent services across our enterprise technology landscape. You will combine deep expertise in Java-based architecture with modern AI patterns - including agentic workflows, large language model (LLM) integrations, and retrieval-augmented generation (RAG) - to drive our AI transformation strategy forward.

You’ll thrive in this position if you're an experienced architect who is actively exploring and applying AI in enterprise environments, comfortable working across cloud, hybrid, and distributed systems, and passionate about translating emerging AI capabilities into practical, scalable solutions. We value adaptability and intellectual curiosity as much as deep technical expertise.

Key Responsibilities
  • Define and lead the enterprise AI architecture strategy, designing agentic workflows, multi-agent systems, and LLM integration patterns that automate complex business processes across customer-facing and internal platforms.
  • Architect scalable, resilient solutions using Java, Spring Boot, Spring AI, REST APIs, event-driven architectures, and microservices - establishing reference implementations that accelerate AI adoption across engineering teams.
  • Participate actively in enterprise architecture forums, ensuring AI initiatives align with application, integration, security, and infrastructure standards across hybrid cloud and on-premises environments.
  • Define governance, observability, and responsible AI controls - including model lifecycle management, prompt security, data protection, and compliance frameworks - in close partnership with security and compliance teams.
  • Mentor engineers, architects, and technical leads, acting as a trusted advisor to senior technology leadership and driving architectural consistency across multiple products and platforms.
Required Qualifications
  • Several years of software engineering and architecture experience, including 5+ years designing large-scale distributed systems, with a strong foundation in Java, Spring Boot, and enterprise application design.
  • Demonstrated experience with AI architecture patterns including agentic workflow design, RAG architectures, LLM integration, vector databases, and AI orchestration frameworks (e.g., Spring AI or comparable).
  • Proven ability to design and deliver cloud-native and hybrid-cloud solutions across platforms such as AWS, Azure, OCI, or GCP, including Kubernetes, container platforms, and CI/CD pipelines.
  • Strong understanding of microservices, event-driven systems, API governance, domain-driven design, and enterprise integration architectures.
  • Clear communicator with a track record of influencing engineering, product, infrastructure, and executive leadership teams across complex, matrixed organizations.
Preferred Qualifications
  • Familiarity with AI ecosystems such as LangGraph, Semantic Kernel, OpenAI, Azure OpenAI, or Anthropic, and/or vector stores such as Pinecone, Weaviate, OpenSearch, or PostgreSQL pgvector.
  • Experience building AI-powered applications in regulated industries, including financial services or trading environments.
  • Knowledge of enterprise architecture frameworks, governance models, and developer experience practices.

This position is based in London and offers a hybrid work environment with at least 3 days per week in-office, subject to change.

Benefits & Rewards

We offer a competitive, well-rounded rewards package designed to support the financial, physical, and emotional well-being of our employees and their families (where applicable).

The actual pay depends on factors like your skills, experience, qualifications, and location. In addition to base pay, we offer short-term incentives (bonus or commission) and long-term incentives (equity), where applicable.

We utilize a structured job architecture and career framework to ensure growth opportunities are transparent, fair, and accessible to all employees. The pay range you see reflects the full salary band for this job level, including room for progression over time.

For more information, visit Nasdaq Benefits & Rewards Career Page .

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

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