The AI Architect will enable the creation of innovative, ethical, and reliable cloud solutions that stand out on a global scale to enhance the lives of people and organisations. This includes, but is not limited to:

• Supporting the development and implementation of our enterprise AI strategies and roadmaps.
• Scoping and leading the development of frameworks, reference architecture, tooling, costing, governing standards, and principles.
• Leading the design, migration, data modelling, implementation, testing, support, deployment, architecture, and maintenance of solutions that use, or will use AI in future.
• Qualify new customers and assist existing customers to envision new opportunities and map out enhancements to existing solutions that meet business needs.

Key Responsibilities:

• Supporting customers with their AI Implementation across infrastructure, security, licensing, management, and migration.
• Lead, design and implement data driven AI projects end to end, working both independently and/or leading a team to meet project requirements.
• Working collaboratively with our other Cloud Services teams to deliver exceptional solutions to our clients across the full range of Microsoft technologies.
• Reviewing and automating business processes.
• Work directly with the customer to scope out and deliver maintainable, well tested solutions that leverage cloud technologies where possible.
• Provide sound technical support to clients for common and complex Data & AI issues, while identifying opportunity for architectural, cultural, and technical improvements.
• Lead, design, and apply AI architecture patterns to projects and solutions.
• Develop and improve AI solutions and related development lifecycles, using best practices and a DevOps mindset.
• Deliver workshops to clients to upskill them and support with the uptake of new technologies, while identifying opportunities for improvements in workshop design and delivery.
• Understand and implement solutions outside of AI that may interact with developed solutions.
• Proactively seek out and learn emerging technologies, explore new and innovative use cases, and build collective knowledge across the Aware Team.
• Ensure you have a clear understanding of the HSO core values and HSO best practices.
• Act as a Mentor and coach for our Data & AI team to ensure team members are meeting their project and customer goals.

Requirements

Experience and Skills:

• Experience developing AI solutions, AI models, and AI governance frameworks in production.
• A breadth of experience in various current cloud technologies and applications
• In-depth experience with various source systems control and testing frameworks and related methodologies
• Experience leading project and project teams end to end.
• Proficiency in explaining complex technical architecture and solutions to non-technical audiences.
• Ability to identify when potential issues need to be communicated and/or escalated.
• Eager to proactively learn and apply new technologies (both within and outside of your field) and to share those learnings with the wider technical team.
• Strong organisational and problem-solving skills with demonstrated ability to prioritise tasks, meet deadlines and manage conflicting priorities.
• Strong emotional intelligence and the ability to work with clients from varying backgrounds.
• Ability to accurately scope projects and provide recommendations for the client.
• An understanding of common and complex development lifecycles and experience applying DevOps practices.
• Outstanding interpersonal skills with the confidence to workshop solutions directly with customers and ability to work through complex customer interactions.
• A strong understanding of business capabilities and frameworks that can map these capabilities to AI models and broader architectural initiatives.
• A strong understanding of ethical and privacy obligations and ability to proactively identify and mitigate security threats.
• Experience with business applications and D365.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• Relevant certifications in Microsoft Azure or related technologies.