SATIC Forward Deployed Engineer

Management Level

Senior Associate

Job Description & Summary

At PwC our people in business application consulting specialise in consulting services for a variety of business applications helping clients optimise operational efficiency. These individuals analyse client needs implement software solutions and provide training and support for seamless integration and utilisation of business applications enabling clients to achieve their strategic objectives.

In contract lifecycle management technology (CLM) at PwC you will specialise in providing consulting services for implementing CLM technology solutions. You will have extensive experience in various CLM technologies.

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.

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 Firms code of conduct and independence requirements.

About the Agentic Innovation Lab

The Innovation Lab serves as SATICs AI engineering hub. It focuses on solving complex business problems by designing building and scaling AI-powered solutions (Generative AI Agentic AI and intelligent automation) to transform business operations.

The Role

This position sits at the intersection of legal domain expertise and applied AI role is forward-deployed meaning the engineer embeds directly with client teams todiagnose bottlenecks map workflows and build solutions within the clients deployments the engineer works from the Innovation Lab to refine internal toolsand contribute to a reusable asset library.

Key responsibilities

1. Solution Architecture and AI Engineering

Deconstruct workflows into machine-readable logic;
Build RAG pipelines (embedding models vector databases retrieval tuning);
Architect multi-agent systems; and
Maintain taxonomies and metadata schemas.

2. Engineering Prototyping & Production Delivery

Rapidly iterate AI prototypes;
Integrate AI with enterprise platforms (CLM document repositories APIs); and
Establish evaluation frameworks for accuracy latency and cost.

3. Client Engagement & Forward Deployment

Embed on-site for 26-week sprints;
Manage concurrent engagements;
Act as a technical translator between stakeholders and engineering teams; and
Deliver technical demonstrations.

4. Risk Governance & Quality Assurance

Implement guardrails against hallucinations and bias;
Ensure compliance with data privacy (GDPR POPIA) and AI governance frameworks (EU
AI Act ISO/IEC 42001 NIST AI RMF); and
Maintain audit trails.

5. Team Contribution & Knowledge Building

Manage technical backlogs (Jira/Azure DevOps);
Mentoring junior associates; and
Contribute to the shared asset library.

Experience & Skills

Domain Expertise

Bachelors degree (Economics Law Computer Science Data Science Information
Systems or equivalent);
48 years of experience in Business Engineering Operations or Product Development;
Ability to map complex business processes.

Engineering and AI

Experience with at least one LLM orchestration framework.
Working knowledge of at least one major cloud platform.
Experience integrating AI solutions with enterprise systems.

Communication

Ability to explain technical AI concepts to business professionals and deliver polished
demonstrations to senior stakeholders

Desired Skill sets

Experience with AI evaluation and observability tools.
Hands-on configuration experience with CLM platforms or workflow automation tools
Familiarity with AI governance frameworks: EU AI Act risk classification ISO/IEC 42001
NIST AI RMF or responsible AI principles.
Experience with fine-tuning LLMs training custom embedding models or building custom evaluation datasets.
Solid understanding of Agile/Scrum delivery and legal professional privilege.

Soft skills and innovation mindset

Builder Instinct: Prioritizes functional prototypes while maintaining good
documentation.
Comfort with Ambiguity: Capable of creating structure in uncertain environments.
Rigorous and Precise: Disciplined in testing and ensuring accuracy in enterprise AI.
Collaborative: Values cross-functional input and team effectiveness.
Intellectually Honest: Transparent about knowledge gaps and collaborative in seekinghelp

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship

No

Job Posting End Date

October 9 2026