Enterprise Architect

AI and Data Architecture Leadership

 Design enterprise-grade AI and data architectures that combine structured and unstructured

data, analytics, and advanced AI models (including GenAI, LLMs, and cognitive services).

 Define scalable data pipelines and lakehouse/lake-centric architectures that power machine

learning models and real-time analytics.

 Architect multi-cloud AI/ML solutions with Microsoft Azure.

 Architect LLM-powered solutions using both main streams Cloud based AI LLM such as

Azure OpenAI and self-hosted open-source models (e.g., LLaMA, Mistral, Falcon) tailored

to customer environments.

 Have an understanding of the Architecture and what is required to deploy LLM's within

Customer's Private DC environment to include infrastructure, data , applications etc.

Solution Design & Governance

 Lead architectural reviews of high-value deals, identifying technical risks and mitigation

strategies.

 Develop standard design patterns for all solution / portfolio offers. The reusable design

blueprints will form the basis of the 70/30 Solution Hub approach where solutions should

conform to 70% standard design with a maximum of 30% customisation. This approach is critical

in ensuring that we conduct repeatable business which reduces risk and accelerators to

streamline delivery and rapid time to value for customers.

Customer Engagement

 Present technical solutions to C-suite clients, demonstrating ROI and alignment with their goals.

 Collaborate with sales teams to scope complex opportunities and craft compelling proposals.

Portfolio Innovation

 Foster a culture of innovation and forward-thinking within the CTO, Sales and Pre-sales Teams.

React swiftly to changes in the business environment and implement solutions that support the

company's growth and agility.

Sensitivity: COMMERCIALLY CONFIDENTIAL

 Define best practices for solution architecture, ensuring compliance with, security and scalability

standards.

 Mentor delivery teams on architectural frameworks and emerging tech adoption.

Strategic Leadership

 Develop and implement the Architecture strategy aligned with the company's overall business

objectives. Provide visionary leadership to drive technological innovation and digital

transformation.

Microsoft Expertise

 Utilize knowledge and experience in Azure, MS D365 to support the CTO Office provide

architectural leadership and assist the CRO organization with product and solution offers.

AI Expertise

 Advise and drive the implementation of new technologies, particularly in the field of AI, to ensure

we are a best-in-class example to our customers of being an AI enabled company.

 Awareness of ethical considerations, data privacy / education, bias, and security in AI

deployment

Security and Compliance

 Have an appreciation of IT security and compliance across the CTO, Sales, Product and

portfolio organization for the solutions we are selling and managing for our customers.

Vendor Management

 Manage relationships with external IT vendors, contractors, and service providers. Collaborate

with Legal and Procurement to negotiate contracts and ensure the delivery of high-quality

services.

Team Leadership

 Lead, mentor, and develop the CTO team, fostering a collaborative and high-performance

culture that supports a business enablement and customer first mindset. Ensure the team is

equipped with the necessary skills and knowledge to meet the market and company's needs.

Sensitivity: COMMERCIALLY CONFIDENTIAL

Skills

 Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent

applications at enterprise scale.

 Demonstrable experience deploying local LLMs in production environments, including

integration with LangChain, databases, and private storage.

 Strong knowledge of enterprise architecture frameworks, cloud platforms, and emerging

technologies.

 Working knowledge of designing solutions that include Networks (Voice and Data),

Hyperscaler environments (Main focus on Azure), Micro services, Business applications,

Resilience, DR, Business Continuity, Security and how all these elements need to be

considered when designing an e2e solution.

 Understands what is involved for OnPrem / Private Cloud workload migration to Cloud

environments or Hybrid cloud environments

 Has had experience of working with Large Enterprise customers.

 Proficiency in AI/ML, Cybersecurity frameworks, CX platforms, and Microsoft Cloud (Azure,

M365, D365).

 Excellent communication, presentation, and interpersonal skills.

 Ability to build relationships with C-level executives, technical teams, and business

stakeholders.

 Commercial appreciation of being able to articulate the commercial benefits of using cloud

based applications to customers.

 Strong problem-solving skills and a proactive approach to challenges.

 Experience with cloud computing, Data Centre and virtualization technologies.

 Experience in Enterprise Architecture, Security policies/processes and solutions

 Experience in government, travel, healthcare, Banking & finance, or manufacturing industries

is a plus.