SATIC: AI/Forward Integration Engineer at PricewaterhouseCoopers (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.

The Role

• 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.

Key responsibilities

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.

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.

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.

Experience & 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.

Communication

• Ability to explain AI concepts clearly and deliver polished demonstrations to senior stakeholders.

Desired Skillsets

• 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.

Soft skills and innovation mindset

• 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.

Requirements added by the job poster

• 2+ years of work experience with Microsoft Excel