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Data & AI Solutions Architect

Virtual Req #127
07 May 2024

Established in 1982, Bytes has grown rapidly and now employs over 600+ people across 5 locations in the UK and Ireland. Our turnover in Financial Year 2019 was in excess of £520M. We work with SME’s, corporates and public sector organisations to modernise and digitally transform their IT infrastructures.

We invest in our employees through on-going support, training and advice to help them achieve their career aspirations, rewarding success both financially and personally. There is opportunity to grow and move internally which can be seen through our long-standing employees who have developed existing and new skills to move into senior positions in the organisation leaving space for new team members to begin their journey.

Your Future Starts Here

Why Bytes?

  • Over 600 staff (plans to double in size over the next 5 years)
  • Operating from modern, hybrid working environments with offices in Leatherhead, Reading, London or Manchester
  • Winners of an array of industry awards
  • Sunday Times Top 100 Best Places to Work
  • Excellent training and career prospects offered
  • Fantastic office with gym, canteen, open plan, smart casual dress code, regular incentives and company events
  • Supporters of 85+ charities with strong commitment to diversity and sustainability

 

POSITION DETAILS:

Position Title:

 Data & AI Solutions Architect

Reports to (POSITION):

 Microsoft Services Manager

Team:

 Cloud Implementation Team

Department:

 Technical Solutions

 

 

 

PURPOSE OF JOB:

The Data & AI Solutions Architect will be instrumental in designing, implementing, and optimizing 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.
  • Establish and enforce data governance policies.
  • 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 optimize 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.

QUALIFICATIONS, EXPERIENCE, & SKILLS: 

Educational Qualifications:
  • None

ESSENTIAL OR DESIRABLE

Professional Qualifications
  • Relevant Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar.

DESIRABLE

Years of Experience
  • 3+ years working with production data workloads in Azure

ESSENTIAL

Other Requirements
  • Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.).

ESSENTIAL
  • Experience with AI development using Azure Machine Learning.

ESSENTIAL
  • Strong programming skills in languages such as Python, SQL, or C#.

ESSENTIAL

 

CORE Competencies & SKILLS – BASED ON POSITION AND GRADE
  • 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.

Other details

  • Job Family Employee
  • Job Function Technical Solutions
  • Pay Type Salary
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