Senior Enterprise AI & Integration Architect

Huxley Associates

Greater London

Hybrid

GBP 40,000 - 70,000

Full time

8 days ago

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Benefits offered by this job

Hybrid working

Private healthcare

28 days annual leave + holidays

Employee share scheme

Job summary

Huxley Associates seeks an accomplished Senior Enterprise/ Solution Architect to design end-to-end technology solutions across applications, data, AI services, and cloud environments. You will define architecture patterns, standards, ADRs, and roadmaps while guiding delivery teams.

The role demands 8+ years in strategic architecture, deep Azure expertise, governance experience in regulated settings, and strong stakeholder communication. Hybrid role in London or Glasgow with a competitive package.

Qualifications

8+ years of experience in Solution Architecture, Enterprise Architecture, or similar strategic architecture roles.
Experience designing end-to-end enterprise technology solutions across multiple platforms and domains.
Strong expertise in enterprise integration architecture including APIs, events, middleware, and data streaming.
Hands-on experience with Generative AI, Large Language Models (LLMs), Agentic AI, AI orchestration frameworks, and automation platforms.
Strong understanding of Microsoft Azure cloud services, integration platforms, and cloud-native architecture patterns.
Experience designing data-centric solutions involving governance, data quality, lineage, and analytics platforms.
Proven track record leading architecture reviews and influencing senior technology and business stakeholders.
Experience working within regulated environments with strong security, privacy, risk, and governance requirements.
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Microsoft Azure Solutions Architect Expert certification or equivalent cloud architecture certification
TOGAF or alternative Enterprise Architecture framework certification
Experience with Dynamics 365, Power Platform, and Dataverse
Knowledge of Responsible AI principles, AI governance frameworks, and explainability practices
Experience with event-driven architectures, enterprise integration platforms, and API management solutions
Experience operating within data-intensive, professional services, or workforce solutions environments
Strong understanding of Master Data Management (MDM), data governance, and enterprise data strategies
Continuous professional development across AI, cloud architecture, and integration technologies

Responsibilities

Design end-to-end technology solutions spanning applications, integrations, data platforms, AI services, and cloud environments
Define architecture patterns, standards, reference architectures, and implementation roadmaps
Produce high-quality architecture documentation, solution designs, and Architecture Decision Records (ADRs)
Lead architecture reviews and provide technical assurance throughout delivery lifecycles
Design and govern Agentic AI and Generative AI solutions integrated with enterprise systems and data platforms
Define AI orchestration patterns, prompt management approaches, agent workflows, and human-in-the-loop controls
Establish secure integration architectures using APIs, event-driven technologies, middleware, ETL/ELT frameworks, and data streaming services
Develop data flow models, canonical data structures, and data contracts that support analytics and AI adoption
Ensure architecture solutions align with security, privacy, compliance, and governance requirements
Collaborate closely with delivery squads, engineering teams, and product leaders to accelerate delivery outcomes
Provide architectural guidance across multiple initiatives while influencing technology strategy and standards
Mentor engineers, architects, and technical specialists on architecture best practices and modern design principles