[Hiring] LLM Integration & CI/CD Engineer @PwC

Role Description

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients.

Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Qualifications

• 6+ years in DevOps, release engineering, API integration engineering, or a similar L2/L3 support role.

Requirements

• Build, support, and troubleshoot API-based integrations across in-scope AI platforms and enterprise systems.
• Implement resilient integration patterns such as retries, idempotency, error handling, timeouts, and operational telemetry.
• Work through authentication, configuration, payload, and dependency issues across application and platform boundaries.
• Build and maintain CI/CD pipelines for AI workloads and supporting services, with clear validation, promotion, and rollback steps.
• Operate pipelines in line with change and release governance and support safe promotion through environments.
• Standardize templates, checks, and reusable workflows to reduce release risk and improve consistency.
• Implement secure secrets handling, service-account management, and least-privilege access patterns for integrations and pipelines.
• Coordinate release readiness activities including deployment plans, rollback paths, runbook updates, and post-release verification.
• Provide L2/L3 support for pipeline failures, integration defects, and deployment-related incidents.
• Drive corrective actions that improve supportability, reliability, and developer experience without weakening controls.
• Maintain pipeline and integration documentation, escalation paths, and common-failure reference material.

Benefits

• Experience with Terraform or adjacent infrastructure-as-code tooling.
• Familiarity with Bedrock, OpenAI, or other enterprise GenAI service integrations.
• Experience supporting post-deployment validation, rollback exercises, and emergency changes.
• Strong working knowledge of ServiceNow or similar ITSM tooling.

Company Description

You will join PwC’s AI Operations & Platform Support team supporting clients’ run-state AI environment. The operating model is centered on Level 2 and Level 3 support, monitoring, incident response, service requests, minor enhancements, and continuous improvement across AWS/Bedrock, OpenAI, and related platform components.

This role will work in a managed-services model focused on incident management, service requests, monitoring, minor enhancements, knowledge management, and continuous improvement. Success depends not only on technical skill, but also on ownership, collaboration, and the ability to engage stakeholders to progress work.