AI Platform Engineer

WHO WE ARE? Being the daughter company of Swisscom - leading telecommunications company and one of the most sustainable and innovative companies in Switzerland - we share the same values, vision and goals. As a trustworthy and efficient Swisscom IT service partner, we create valuable customer experiences. We work in strong collaboration with our partners in Switzerland and attract and retain high performers. We're expanding our footprint in Lisbon and are looking for an AI Platform Engineer to join our growing AI team. We invite driven professionals to join us, grow with us, and help shape the future. The team / project The Mobile Technology & Voice Value Stream is building an AI tooling suite that automates and supports the operation of Swisscom's mobile and voice network. We are a small, collaborative pod working closely with product owners and business stakeholders in Switzerland, network SMEs and external specialists, and together we're building an internal AI delivery capability for Swisscom Operations. As AI Platform Engineer, you own the runtime, cloud infrastructure, deployment automation, security baseline, observability and production reliability of the AI tooling suite. You make agentic AI operable in an enterprise environment, so that models, agents, APIs, user interfaces, integrations and telemetry run with the right controls, performance, auditability and cost transparency. What you'll do Build the cloud foundation: Design, provision and operate the AWS infrastructure for the AI tooling suite, including the agent runtime and its connectivity to AWS Bedrock and upstream services. Secure by design: Implement secure network patterns, identity integration, IAM, secrets management, encryption and least-privilege access. Automate everything: Build CI/CD pipelines with automated tests and controlled production promotion, infrastructure as code, and automated deployment, configuration and rollback. Manage environments: Run development, staging and production environments, and establish release and change practices suited to a small product team. Make it observable: Implement structured logging, metrics, tracing, dashboards and alerting, with a complete audit trail of queries, tool calls, responses, latency and model usage. Keep it reliable: Define service-level indicators for availability, latency, error rate and cost, investigate incidents, and design graceful degradation when models or upstream systems are unavailable. Run the AI platform: Operate model access, quotas, guardrails and runtime policies, monitor token consumption and model cost, and support model and prompt versioning and evaluation pipelines. Stay compliant: Support security reviews, threat modelling and audits, align controls with Swisscom standards, and maintain runbooks and recovery procedures. Grow internal know-how: Pair with external cloud and DevOps specialists and contribute reusable platform capabilities for future Swisscom AI agents. Support production: Take part in on-call or production support once the AI tooling suite enters operational service. Job requirements Cloud & Infrastructure Strong hands-on AWS engineering experience Infrastructure as code, cloud networking, IAM, secrets and encryption Containers, serverless services or managed application runtimes DevOps & Operations CI/CD pipelines and automated deployment Operating production services with monitoring, logging, alerting and incident response Understanding of secure software-delivery and production-change practices Scripting & Automation Strong scripting and automation skills, preferably Python and shell Soft Skills Strong communication skills in English (written and spoken). Strong ownership of production reliability, with a habit of turning incidents into learning. Collaborative approach when working with security teams, platform owners and pod members. Willingness to share knowledge so the team can operate the platform independently. Availability for on-call or production support once the platform is in operational service. Nice to have Operating generative AI, LLM, MLOps or agentic AI platforms AWS Bedrock, CloudWatch, API Gateway, Lambda, S3, CloudFront, WAF and Secrets Manager Kubernetes, OpenTelemetry or comparable enterprise runtimes Azure AD / Entra ID integration using OIDC or SAML FinOps for model and cloud-cost monitoring Telecommunications, network operations or high-availability operational systems #J-18808-Ljbffr Unknown