Lead SRE - AI Halliburton Site Reliability not stated

Senior Site Reliability role ngdon.

devopsroles summary, based on the employer's posting.

• Build full-stack AI tools with Angular and Python that help SRE teams reduce routine work and respond to incidents
• Create LLM workflows for log analysis, anomaly detection, runbook automation, incident triage and root-cause summaries
• Connect retrieval pipelines to operational knowledge bases and link AI models with observability and automation tools
• Maintain Kubernetes-based AI services, addressing inference speed, scaling and reliability problems
• Lead the AI sub-team, guide colleagues and take part in on-call incident response

• A technical bachelor's degree and at least eight years in software or platform engineering
• Production experience building Angular interfaces and Python services, including FastAPI and asynchronous patterns
• Hands-on experience delivering LLM applications with prompt design, RAG and agent frameworks
• Experience with AWS or Azure Dev Ops, Terraform and Ansible
• Strong cloud, container and SRE foundations, including Kubernetes, CI/CD, observability and incident management

This senior, hands‑on team lead role suits someone who combines full-stack engineering, LLM development and cloud reliability work. You'll lead an AI sub‑team, collaborate across engineering groups and join the on‑call rotation. The position is based in Abingdon, United Kingdom.

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

About Landmark

Landmark, a Halliburton company, builds the software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world’s largest energy companies and run as cloud-native SaaS platforms and as enterprise on‑premises solutions.

About the Role

Landmark’s Site Reliability Engineering (SRE) team is looking for a hands‑on AI SRE team lead to design, develop, and operationalize AI‑and LLM‑driven solutions that augment and automate SRE workflows  will work at the intersection of full‑stack engineering, machine learning operations, and cloud platform reliability, building real tools that engineers depend on every day. As a member of the SRE team, you will lead an AI sub‑team while working closely with development engineering in the Dev Sec Ops  organization, regional technical engineers, Halliburton Information Technology engineers, and architects.

Bring your expertise in AI, full‑stack development, and cloud operations to an environment offering broad exposure to today’s most relevant AI technologies, LLM frameworks, cloud platforms, and petrotechnical science.

Overall Responsibilities:

The AI SRE team lead is a critical and visible role, central to delivering AI‑powered tooling across a multi‑tiered cloud infrastructure. You will design and deliver full‑stack AI solutions that reduce toil, improve incident response, and surface actionable intelligence from complex multi‑cloud operational data. You will collaborate directly with SRE managers, development leaders, architects, and product owners to ship AI‑first tooling that scales with the platform.

• Design and build full-stack AI‑powered applications using Angular frontends, Python/FastAPI backends, and integrated LLM and agent…