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Enterprise Architect (GenAI, LLMs, AI/ML, Cloud)

JR United Kingdom

London

On-site

GBP 90,000 - 140,000

Full time

6 days ago
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Job summary

A leading company in the technology sector is seeking an experienced Enterprise Architect to shape enterprise architecture across the services lifecycle. The role involves collaborating with senior leaders, promoting cloud-native solutions, and integrating Generative AI technologies into client offerings. Ideal candidates will have over 20 years of experience and a strong background in cloud platforms and enterprise architecture.

Qualifications

  • 20+ years of experience in enterprise architecture.
  • Expertise in cloud-native platforms like AWS, Azure, GCP.
  • Strong communication and stakeholder engagement skills.

Responsibilities

  • Develop and execute enterprise architecture strategy.
  • Collaborate with senior leaders for architectural governance.
  • Provide architectural guidance throughout delivery lifecycle.

Skills

Cloud-native platforms
Enterprise architecture
Microservices
APIs
DevSecOps
GenAI technologies
AI/ML platforms
Stakeholder engagement

Education

TOGAF certification
Zachman certification

Job description

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Enterprise Architect (GenAI, LLMs, AI/ML, Cloud), london

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Client:

HCLTech

Location:

london, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

1

Posted:

25.05.2025

Expiry Date:

09.07.2025

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Job Description:

About the Role:

We are seeking a seasoned and forward-thinking Enterprise Architect to join our dynamic services organization. This role is pivotal in shaping enterprise architecture across the services lifecycle—from presales and solutioning to delivery and transformation. The ideal candidate will possess deep expertise in cloud-native platforms, enterprise systems, and GenAI-led innovation, and will provide architectural leadership across complex engagements.

Key Responsibilities:

  • Contribute to the development and execution of enterprise architecture strategy aligned with business and technology goals.
  • Collaborate with the Chief Architect and other senior leaders to ensure architectural consistency and governance across programs.
  • Promote the adoption of modern, scalable, and secure cloud-native and enterprise-grade solutions.
  • Partner with presales and sales teams to define solution architectures during RFP and proposal phases.
  • Translate client requirements into high-level architecture blueprints and technical value propositions.
  • Support client presentations and articulate architectural vision to technical and business stakeholders.

Delivery Enablement

  • Provide architectural guidance and oversight throughout the delivery lifecycle.
  • Ensure solutions meet enterprise standards for scalability, performance, and security.
  • Collaborate with delivery teams, mentoring solution architects and technical leads.
  • Support the integration of Generative AI technologies into service offerings and client solutions.
  • Work with innovation teams to define GenAI use cases, reference architectures, and best practices.
  • Contribute to internal knowledge sharing and thought leadership in emerging technologies.

Required Qualifications:

  • 20+ years of experience in enterprise architecture, with a strong background in services, consulting, or system integration.
  • Proven expertise in cloud-native platforms (e.g., AWS, Azure, GCP), microservices, APIs, and DevSecOps.
  • Solid understanding of enterprise integration, data architecture, and security frameworks.
  • Exposure to GenAI technologies, LLMs, and AI/ML platforms.
  • Strong communication and stakeholder engagement skills.
  • TOGAF, Zachman, or similar EA certification preferred.

Travel Requirement:

  • This role may require travel, both domestic and international, based on client engagements, workshops, and strategic initiatives.

Preferred Attributes:

  • Strategic mindset with a pragmatic, hands-on approach.
  • Ability to influence and collaborate across cross-functional and geographically distributed teams.
  • Passion for innovation, continuous learning, and technology leadership.
  • Experience working in global delivery models and multicultural environments.
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