Lead SRE - AI

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 pipelines. Develop and operationalize LLM‑based solutions for SRE use cases, including log analysis, anomaly detection, runbook automation, incident triage, and RCA summarization.
• Implement RAG (Retrieval‑Augmented Generation) pipelines over operational knowledge bases and runbooks.
• Integrate AI/ML models into SRE observability tools like New Relic and automation workflows, including monitoring, alerting, and self‑healing.
• Build and maintain RESTful and async APIs using FastAPI for internal SRE tooling and dashboards.
• Develop Angular dashboards that present AI‑generated insights to SRE, account, and sales stakeholder teams.
• Collaborate with the Cloud Automation team on AI‑driven infrastructure automation using Terraform, Ansible, and Jenkins.
• Enforce engineering best practices, including code reviews, unit testing, and CI/CD pipelines for both ML and application code.
• Evaluate and introduce emerging AI frameworks and LLM providers, including OpenAI, Azure OpenAI, Bedrock, Lang Chain, and Llama Index.
• Maintain Kubernetes‑deployed AI workloads and troubleshoot inference latency, scaling, and reliability issues.
• Participate in the on‑call rotation and apply AI tooling to improve incident response times.
• Coach and mentor team members on AI integration patterns and best practices.

• Must have solid experience of AWS/Azure Dev Ops, Terraform and Ansible
• Bachelor’s degree in a technical field and…