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

Industry/Sector

Specialism

Management Level

Job Description & Summary

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.

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.

Role

LLM Integration & CI/CD Engineer

Level

AC - Senior

Tower

AI Operations & Platform Support (AI Managed Services)

Experience

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

Work Location

Bangalore / Hyderabad, India (Remote)

Key Platforms

AWS, GitHub Actions / Jenkins / Azure DevOps, OpenAI / Bedrock integrations, ITSM and observability tooling

Role profile

Senior hands-on engineer who can troubleshoot integrations, operate CI/CD pipelines, and support controlled releases in an enterprise-managed-services model.

Primary focus

APIs and connectors, deployment pipelines, secrets and IAM, release governance, rollback readiness, and L2/L3 troubleshooting.

Best fit

Someone who can balance speed with control, understands why releases fail, and can drive issues to closure across engineering, platform, and security stakeholders.

As 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.

1. Integration and connector engineering

• 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.

2. CI/CD and release operations

• 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.

3. Secure delivery and operational readiness

• 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.
• Support high-risk or time-sensitive changes in partnership with the incident commander and broader platform team.

4. Troubleshooting and continuous improvement

• 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.

Skill area

Preferred background

API and integration engineering

Hands-on experience designing, supporting, and troubleshooting APIs, connectors, webhooks, and enterprise integrations.

CI/CD and DevOps

Experience building and operating CI/CD pipelines using tools such as GitHub Actions, Jenkins, Azure DevOps, or similar.

Cloud deployment patterns

Working knowledge of AWS services and deployment patterns for enterprise applications or AI workloads, including configuration promotion and operational validation.

IAM and secrets management

Experience implementing secure delivery practices using least privilege, secrets management, service accounts, RBAC, and approvals.

Release and change governance

Experience operating within ITIL-aligned incident, request, release, and change-management processes.

Critical thinking and stakeholder engagement

Ability to reason through ambiguous failures, synthesize technical and operational risk, and work effectively with platform owners, security teams, and business stakeholders.

• 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.

Working Style & Core Behaviors

• Approaches failures methodically and can separate symptom from cause.
• Understands that stable delivery is as important as fast delivery.
• Is comfortable driving follow-ups across multiple resolver groups and does not wait passively for answers.
• Documents patterns and fixes so the team becomes less dependent on tribal knowledge.

What Good Looks Like

• Can diagnose whether a failed release is caused by code, config, IAM, pipeline logic, or environment drift.
• Creates deployment patterns that are easy to support, easy to validate, and easy to roll back.
• Improves integration resilience rather than repeatedly fixing the same class of issue.
• Keeps change execution controlled while still helping the team move quickly.

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.

Travel Requirements

Job Posting End Date