AI & Automation Engineer - VOIS
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What you'll do
- Design and develop Python-based applications and services that support AI-enabled cyber security use cases.
- Build, consume, and maintain REST APIs to integrate AI capabilities into cyber security workflows and enterprise platforms.
- Develop and deploy cloud-native solutions using Azure, AWS, or GCP, with GCP experience considered a strong advantage.
- Implement, manage, and optimise solutions in containerised environments using Docker and Kubernetes.
- Contribute to innovation initiatives by prototyping, testing, and validating AI-powered approaches for cyber security automation and threat detection.
- Apply Responsible AI principles, safety controls, and risk mitigation measures to ensure secure and compliant AI solutions.
- Support the creation of reusable engineering assets, including patterns, frameworks, reference architectures, and technical components.
- Collaborate with cyber security specialists, software engineers, architects, and innovation teams to transform ideas into scalable technical solutions.
- Produce and maintain technical documentation and share knowledge to support wider adoption across teams.
- Contribute to secure system design practices and cloud security initiatives.
What they're looking for
- Experience using Python to build automation solutions, software applications, or AI-enabled services.
- Experience developing and consuming REST APIs within enterprise environments.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working with Docker and Kubernetes in containerised environments.
- Good understanding of software engineering principles, scalability, and system architecture design.
- Awareness of Responsible AI principles, AI governance, safety controls, and risk management practices.
- Foundational understanding of cyber security concepts and secure-by-design methodologies.
- Ability to work effectively in innovation-focused environments with evolving priorities and experimentation.
- Strong collaboration, stakeholder engagement, and communication skills.
Nice to have
- Exposure to AI/ML technologies, Generative AI, or Large Language Model (LLM) applications is advantageous.
- Experience with LLM frameworks such as LangChain or LlamaIndex.
- Familiarity with DevSecOps practices, CI/CD pipelines, and software delivery automation.
- Experience contributing to innovation, research, proof-of-concept, or prototyping initiatives.
- Knowledge of cloud security, identity management, and secure architecture principles.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Who we are
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture
About this Role
We are seeking a hands-on AI & Cyber Security Automation Engineer to contribute to VOIS New Technologies and Innovation initiatives focused on advancing cyber security through AI-driven solutions. This role is ideal for individuals with experience in Python development, cloud technologies, APIs, and containerised environments who are passionate about applying AI to real-world cyber security challenges. The successful candidate will help design, build, and validate innovative solutions for automation, detection, and decision support while ensuring secure-by-design principles, Responsible AI practices, and reusable engineering standards are embedded throughout the development lifecycle.
What you’ll do
Design and develop Python-based applications and services that support AI-enabled cyber security use cases.Build, consume, and maintain REST APIs to integrate AI capabilities into cyber security workflows and enterprise platforms.Develop and deploy cloud-native solutions using Azure, AWS, or GCP, with GCP experience considered a strong advantage.Implement, manage, and optimise solutions in containerised environments using Docker and Kubernetes.Contribute to innovation initiatives by prototyping, testing, and validating AI-powered approaches for cyber security automation and threat detection.Apply Responsible AI principles, safety controls, and risk mitigation measures to ensure secure and compliant AI solutions.Support the creation of reusable engineering assets, including patterns, frameworks, reference architectures, and technical components.Collaborate with cyber security specialists, software engineers, architects, and innovation teams to transform ideas into scalable technical solutions.Produce and maintain technical documentation and share knowledge to support wider adoption across teams.Contribute to secure system design practices and cloud security initiatives.
Who you are
- Experience using Python to build automation solutions, software applications, or AI-enabled services.
- Experience developing and consuming REST APIs within enterprise environments.
- Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
- Experience working with Docker and Kubernetes in containerised environments.
- Good understanding of software engineering principles, scalability, and system architecture design.
- Exposure to AI/ML technologies, Generative AI, or Large Language Model (LLM) applications is advantageous.
- Awareness of Responsible AI principles, AI governance, safety controls, and risk management practices.
- Foundational understanding of cyber security concepts and secure-by-design methodologies.
- Ability to work effectively in innovation-focused environments with evolving priorities and experimentation.
- Strong collaboration, stakeholder engagement, and communication skills.
Desirable Experience
- Experience with LLM frameworks such as LangChain or LlamaIndex.
- Familiarity with DevSecOps practices, CI/CD pipelines, and software delivery automation.
- Experience contributing to innovation, research, proof-of-concept, or prototyping initiatives.
- Knowledge of cloud security, identity management, and secure architecture principles.
Not a perfect fit?
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
What's in it for you
Opportunity to work on cutting-edge AI and cyber security innovation projects within a global technology organisation.Exposure to enterprise-scale cloud platforms and modern software engineering practices.Experience collaborating with multidisciplinary teams across cyber security, engineering, architecture, and innovation functions.Opportunity to contribute to the development of Responsible AI capabilities within a large-scale enterprise environment.Hands-on involvement in emerging technologies, experimentation, and rapid prototyping initiatives.
What skills you will learn
AI engineering and GenAI application development for cyber security use cases.Enterprise cloud architecture and cloud-native development practices.Responsible AI implementation, governance, and security controls.Containerisation and orchestration using Docker and Kubernetes.DevSecOps and secure software development methodologies.Cyber security automation, detection engineering, and decision-support systems.Building scalable APIs and integrating AI services across enterprise platforms.Innovation frameworks, proof-of-concept development, and technical solution validation.
VOIS Equal Opportunity Employer Commitment
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.
Join Us
At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
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LinkedIn: https://www.linkedin.com/company/vois/Facebook: https://www.facebook.com/voisglobalInstagram: https://www.instagram.com/voisglobal/You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2
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