Data & AI Solution Architect

Bytes is a top provider of premium IT solutions and services, working with SMEs, corporations, and public sector organisations to modernise and digitally transform their IT infrastructures. Founded in 1982, Bytes has experienced significant growth, now employing over 750 people across seven locations in the UK and Ireland, with a turnover surpassing £1.8 billion in 2023. At Bytes, we nurture talented individuals to achieve remarkable outcomes and are dedicated to supporting our employees through continuous training, guidance, and development to help you advance and fulfil your career goals. We foster a culture of innovation, collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing.

Operating from modern, hybrid working environments with offices in Leatherhead, Reading, London and Manchester:

• 25 days holiday per annum plus bank holidays and Christmas period
• Excellent learning and development opportunities
• Open plan office with collaborative working spaces, on-site gym, outdoor tiki bar, coffee bar, and lunch area
• Company wellbeing and social events
• Sports and social clubs
• Incentive trips
• Employee Assistance Programme
• Discounted private healthcare
• EV scheme and Ride to Work scheme
• Winners of an array of industry awards
• Great Place to Work Certified
• Sunday Times Top 100 Best Places to Work
• Supporters of 85+ charities with strong commitment to diversity and sustainability

POSITION DETAILS:

Position Title: Data & AI Solution Architect
Reports to: Microsoft Services Manager
Department: Technical Solutions

PURPOSE OF JOB:

The Data & AI Solutions Architect will be instrumental in designing, implementing, and optimising data solutions while seamlessly integrating cutting-edge AI models using Azure services. This customer-centric position involves delivering projects and conducting workshops, making it an excellent opportunity for a passionate individual with a robust background in data engineering and AI development on the Azure platform.

KEY RESPONSIBILITIES:

• Have 5+ years of technical consulting (or equivalent) experience.
• Design, develop, and implement data solutions leveraging Azure services.
• Create scalable and reliable data pipelines for data processing, transformation, and storage.
• Experience with Copilot Studio.
• Implement robust security measures to protect sensitive data within Azure environments.
• Integrate AI and machine learning models into data pipelines and applications.
• Develop and deploy AI solutions using Azure Machine Learning services.
• Monitor and optimise data solutions for performance and efficiency.
• Troubleshoot and resolve issues related to data processing and AI model performance.
• Collaborate with cross-functional teams to understand data requirements.
• Document design, implementation, and maintenance procedures for data and AI solutions.

INDIVIDUAL RESPONSIBILITIES:

• Ability to independently analyse and solve complex data and AI engineering challenges.
• Stay updated on the latest Azure data and AI technologies and best practices.
• Proactively identify opportunities to enhance skills and knowledge.
• Effectively communicate technical concepts to both technical and non-technical stakeholders.
• Collaborate with team members to share insights and contribute to a knowledge-sharing culture.

WIDER TEAM NETWORK:

Internal: Pre-sales, Sales, Marketing and Support
External: Clients, Vendors and Partners

QUALIFICATIONS, EXPERIENCE, & SKILLS:

Educational Qualifications: None
Professional Qualifications: Relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar.
Years of Experience: 3+ years working with production data workloads in Azure
Other Requirements: Experience with AI development using Azure Machine Learning. Strong programming skills in languages such as Python, SQL, or C#.

Core Competencies & Skills:

• Expertise in designing and implementing data models and data warehousing solutions.
• Knowledge of machine learning algorithms and experience in deploying models in production.
• In-depth understanding of Azure services and capabilities related to data and AI.
• Ability to analyse complex problems and develop innovative, scalable solutions.
• Proven ability to work effectively in a collaborative, cross-functional team environment.

MEASURES & GOALS:

(HOW WILL THE SUCCESS OF THE PERSON IN THIS POSITION BE MEASURED – WHAT ARE THE EXPECTED OUTPUTS)