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We are seeking an AI & Automation Engineer to design, deliver, and govern AI‑driven and automation‑based frameworks that accelerate software delivery for Mobile Core Network Functions across multi‑cloud environments. The individual will define integration standards, ensure Responsible AI compliance, enhance platform reliability, and support global markets by enabling faster, scalable, and secure deployment cycles.
Job Responsibility:
Define and maintain AI and automation reference architectures, integration standards, and technology choices across AWS, GCP, and Vodafone Private Cloud environments
Build and operate CI/CD and GitOps pipelines using tools such as GitHub Actions, Jenkins, Argo CD / Flux CD, and Kubernetes‑based platforms
Govern Responsible AI practices, ensuring data privacy, model transparency, and secure deployment of GenAI solutions, including PEFT and RAG‑based approaches
Lead observability initiatives by defining KPIs, implementing dashboards, and enabling proactive monitoring using Prometheus, Grafana, and cloud‑native tools
Collaborate with product and domain teams to prioritise automation and AI use cases, guide vendor integrations, and mentor engineers while fostering continuous improvement
Requirements:
Skilled in CI/CD, GitOps, Kubernetes, and multi‑cloud delivery using infrastructure‑as‑code tools including Ansible, Terraform, and Helm
Experienced in AI/ML engineering with strong proficiency in Python, transformers/LLMs, MLOps, vector databases, and production model deployment
Knowledgeable in telecom domains and networking concepts, with practical exposure to mobile core technologies and security best practices
Strong communicator with proven leadership capability, experienced in Agile/DevSecOps ways of working, stakeholder management, and continuous improvement
Adept in designing highly observable, scalable, and resilient platforms using modern monitoring and analytics tooling
What we offer:
Opportunities to work with cutting‑edge AI, ML, and automation technologies across multi‑cloud and telecom environments
Exposure to global markets, stakeholders, and vendor ecosystems, enabling continuous professional growth
Development pathways through certifications in cloud, Kubernetes, DevOps, and Responsible AI frameworks
A collaborative environment focused on innovation, continuous improvement, and advanced engineering practices