SATIC: Forward Integration Engineer

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.

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.

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. Operating from the Innovation Lab, the engineer partners with business stakeholders and Forward-Deployed Engineers to scale successful experiments into enterprise-grade applications.

• 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.

• Assess client needs and business challenges.

• Train and support clients on implemented AI solutions.

• Document the AI development process for smooth handover.

• 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.

• 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.

• 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.

• Programming Languages: Python expertise; working knowledge of R, Java, or similar languages.

• Business Acumen: Ability to align AI initiatives with business goals, analyse needs, and identify integration opportunities.

• Agility and ambiguity: Ability to thrive in fast-paced, changing environments.

• Curiosity and experimentation: Desire to test emerging technologies and learn quickly.

• Team collaboration: Strong collaborator who values diverse perspectives and cross-functional teamwork.