SATIC: Forward Integration Engineer

This position sits at the intersection of enterprise systems integration, applied AI engineering, and practical, high-impact business application. The role is "integration-focused", meaning the engineer connects AI solutions with existing platforms using both custom development and low-code/no-code tools.

About Pwc

• About the Agentic Innovation Lab The Innovation Lab serves as SATIC’s 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.

Responsibilities

• 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.
• 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.
• Operating from the Innovation Lab, the engineer partners with business stakeholders and Forward-Deployed Engineers to scale successful experiments into enterprise-grade applications.
• Key responsibilities 1.
• AI Development & Systems Integration Integrate AI models and solutions with client systems, applications, and data sources.
• Use low-code/no-code platforms to accelerate delivery with minimal overhead.
• Develop AI models tailored to client requirements.
• Collaborate with Forward-Deployed Engineers, data scientists, and engineers to develop and deploy machine learning models.
• Monitor and fine-tune AI models for performance.
• 2.
• Client Alignment & Solution Delivery Assess client needs and business challenges.
• Train and support clients on implemented AI solutions.
• Document the AI development process for smooth handover.
• 3.
• Practice Leadership & Technical Governance Mentor junior engineers and shape technical best practices.
• Stay current on AI trends, technologies, and integration tools.
• Ensure compliance with AI ethics and data privacy standards.

Requirements

• You will have extensive experience in various CLM technologies.
• & Skills Domain Expertise Bachelor’s degree (Computer Science, Data Science, Information Systems, or equivalent experience); Microsoft/Azure certifications are advantageous.
• 4+ years’ experience in programming, AI, or machine learning.
• Ability to integrate AI solutions with enterprise systems, platforms, and APIs.
• Engineering and AI Experience designing, integrating, deploying, and operationalizing AI solutions using custom code, AI frameworks, cloud/MLOps tools, APIs, enterprise systems, and low-code/no-code platforms.
• Track record leading AI projects from concept to deployment, including analysis, stakeholder alignment, planning, support, documentation, and handover.
• Strong grasp of AI, ML, GenAI, LLMs, RAG, prompt engineering, NLP, computer vision, data science, statistics, and visualization.
• Proficiency in Python.
• Full-stack development experience.
• Ability to explain AI concepts clearly and deliver polished demonstrations to senior stakeholders.
• Python expertise; working knowledge of R, Java, or similar languages.
• Ability to align AI initiatives with business goals, analyse needs, and identify integration opportunities.
• Soft skills and innovation mindset Agility and ambiguity: Ability to thrive in fast-paced, changing environments.
• Desire to test emerging technologies and learn quickly.
• Strong collaborator who values diverse perspectives and cross-functional teamwork.

Travel

Requirements Up to 20% Available for Work Visa Sponsorship? No Job Posting End Date November 5, 2026