DevOps/LLMOps -Engineer - Senior Associate

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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.

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.

The Opportunity

• When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
• As part of the Data and Analytics team you will design, implement, and manage enterprise-grade Generative AI infrastructure that is scalable and production-ready. As a Senior Associate you will analyze complex problems, mentor others, and maintain standards while operationalizing LLM-powered applications and maintaining compliance and cost effectiveness. This role offers the chance to work on cutting-edge technologies and contribute to the development of next-generation AI systems.

Responsibilities

• Design and manage scalable Generative AI infrastructure
• Operationalize LLM-powered applications while maintaining effectiveness and compliance
• Analyze complex issues and provide strategic solutions
• Mentor junior staff and enhance their technical skills
• Collaborate with teams to implement innovative technologies
• Uphold rigorous standards in project execution and delivery
• Build sturdy relationships with clients and internal stakeholders
• Navigate the complexities of AI systems development

What You Must Have

• Bachelor's Degree
• 4 years of experience in DevOps, MLOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering roles
• Oral and written proficiency in English required

What Sets You Apart

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering
• Experience operationalizing ML or LLM systems in production
• Proficiency in Python and/or Bash programming
• Building and managing CI/CD pipelines using GitHub Actions
• Understanding of cloud networking concepts and architecture
• Implementing secure networking patterns and zero-trust architecture
• Familiarity with vector databases and LLM deployment patterns
• Experience with Azure OpenAI and model deployment endpoints
• Healthcare domain understanding would be an added advantage