AI Engineer (Infrastructure Automation)

At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties. We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success. Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results. Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress. At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve. Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations. As an AI Engineer (Infrastructure Automation), you will contribute to the next generation of autonomous infrastructure by developing intelligent agents that execute real-world engineering tasks across Cloud, Networking, and Site Reliability Engineering (SRE) domains. Working closely with senior architects and engineering teams, you will apply AI and software engineering principles to solve complex systems problems — from automated environment provisioning to self-healing infrastructure. In this role, you will: • Develop and test AI agents by writing clean, modular code that interfaces with infrastructure APIs across platforms such as AWS, Azure, Kubernetes, and Terraform. • Implement safety-first validation logic and security filters to ensure agents operate predictably, securely, and within defined boundaries. • Build and maintain orchestration tooling for agents, including custom functions, API wrappers, and connectors that extend agent capabilities. • Monitor agent performance, troubleshoot execution failures, and refine agent logic based on real-world operational feedback. • Collaborate across SRE and Networking teams to understand pain points and translate them into practical automated agent workflows. We value the diverse talents and experiences that each individual brings to the table. While mastery of every requirement may not be necessary, familiarity and expertise in some of the following areas will position you for success within this team. • Relevant experience in AI or software engineering, with a focus on automation, agent development, or infrastructure systems engineering. • Proficiency in Python, including asynchronous programming and API integrations, with the ability to write clean and maintainable code. • Experience in working with AI libraries and frameworks such as LangChain or LangGraph. • Familiarity with at least one major cloud provider (AWS, GCP, or Azure) and working knowledge of containerisation tools such as Docker or Kubernetes. • Knowledge of Infrastructure-as-Code tools such as Terraform or Ansible, as well as best practices in Git and CI/CD pipelines. • Understanding of core networking concepts, including IP addressing, DNS, and firewalls. • Knowledge of cybersecurity principles, including the least privilege principle, defensive coding practices, and exposure to Shift Left security approaches. • Communicates effectively, both in writing and speaking, with the ability to explain technical logic clearly and document work thoroughly. • Works independently and manages priorities effectively in a fast-paced engineering environment. • Adaptable and resourceful in handling varied tasks and…