LLM Integration & CI/CD Engineer Senior Associate-AI Managed Services

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 isnt clear, you ask questions, and you use these moments as opportunities to grow. Skills 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. LLM Integration & CI/CD Engineer API Integrations | CI/CD Pipelines | Release Engineering | AWS and Secure Delivery Purpose Build, operate, and improve the integrations and deployment paths that keep AI workloads stable, supportable, and safely releasable.RoleLLM Integration & CI/CD EngineerLevelAC - SeniorTowerAI Operations & Platform Support (AI Managed Services) Experience 6+ years in DevOps, release engineering, API integration engineering, or a similar L2/L3 support roleWork LocationBangalore / Hyderabad, India (Remote)Key PlatformsAWS, GitHub Actions / Jenkins / Azure DevOps, OpenAI / Bedrock integrations, ITSM and observability toolingRole profileSenior hands-on engineer who can troubleshoot integrations, operate CI/CD pipelines, and support controlled releases in an enterprise-managed-services model.Primary focusAPIs and connectors, deployment pipelines, secrets and IAM, release governance, rollback readiness, and L2/L3 troubleshooting.Best fitSomeone who can balance speed with control, understands why releases fail, and can drive issues to closure across engineering, platform, and security stakeholders.Role SummaryAs an LLM Integration & CI/CD Engineer, you will support the non-production to production path for in-scope AI services and integrations. You will help build and operate repeatable deployment patterns, investigate pipeline and connector failures, coordinate release readiness, and improve the reliability and maintainability of the integration landscape. We are looking for engineers who do not just deploy code, but can reason through operational risk, rollback paths, configuration dependencies, and stakeholder impacts. Key Responsibilities 1. Integration and connector engineeringBuild, 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.2. CI/CD and release operationsBuild 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.3. Secure delivery and operational readinessImplement 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.Support high-risk or time-sensitive changes in partnership with the incident commander and broader platform At Pw