About the Role
Base Location:Reading, Havant, Perth, Glasgow
Salary:£61,620 - £72,592 and a range of other benefits to support your family, finances and wellbeing.
Working Pattern:Permanent | Full Time | options available
The role
As a Senior AI DevOps Engineer in the Business Energy CCAAS and AI platform team at SSE, you will play a key role in developing advanced AI applications, utilising technologies like LLMs and techniques such as MCP and RAG. Your responsibilities will also include working on internal tooling and APIs while also managing the secure, cost-effective, and scalable deployment of AI solutions in Azure.
You will:
- Deliver product backlog items across end-to-end products as part of an Agile team in a DevOps environment. You will demonstrate the ability to analyse complex problems and design effective solutions, showcasing strong analytical and design skills.
- Have a proven track record of delivering scalable, end-to-end complex solutions, including designing, building, testing, automating, and monitoring using a modern tech stack in production environments.
- Gain hands-on experience with business-critical systems in medium to large organisations, ensuring reliability and performance in high-stakes settings.
- Possess extensive experience in environments that follow DevOps principles, with strong working knowledge of DevOps tools to streamline development and operational processes.
- Work closely with the Product Owner, Delivery Manager, and stakeholders to analyse requirements and deliver comprehensive business solutions.
You have:
- Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts.
- In-depth experience in AI application development. You have previously planned and developed end-to-end solutions.
- Proficiency in C#, .NET Core, and Python. Experience with Azure Data Factory, Databricks, and either Azure Cosmos DB or Azure SQL Database is beneficial.
- Experience in designing and maintaining robust CI/CD pipelines, applying Infrastructure as Code (IaC) principles with exposure to Terraform, and incorporating Azure MLOps practices for seamless deployment, versioning, and traceability of AI models and data
- Knowledge of DevSecOps principles and data governance best practices to secure AI infrastructure and ensure compliance.
- The ability to implement automated checks for data quality, model performance, and bias detection to ensure reliable and ethical AI solutions.
About our Business
SSE Business Energy's core business is supplying energy in a reliable and sustainable way to over 500,000 business customers in the UK ranging from start-ups to large national corporates. Through leveraging the strengths of the SSE Group SSE Business Energy is able to support our customers to adopt a sustainable business approach through the provision of renewable energy, energy optimisation services and advice on how to use sustainability to drive business advantage. We work in partnership with all our customers to ensure that they are maximising the value from their energy contract and are using energy as a value generating asset that can influence better planning, greater cost control, improved working and product environments, reduced carbon footprint, stronger brand equity and more engaged staff.
What's in it for you?
An excellent package with 34 days holiday entitlement, enhanced maternity/paternity leave, discounted healthcare, salary sacrifice car leasing and much more, view our full benefits package
As an equal opportunity employer we encourage diversity and are committed to creating an inclusive environment for all employees. We actively encourage applicants from all protected characteristics and commit to providing any reasonable adjustments required during the application, assessment and upon joining SSE. Search for to find out more.
