Associate AI/ML Digital Integration Advisory

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

Responsibilities:

• IDE Rules Engineering: Design, write, and test custom rules files (e.g., for Cursor, VS Code) that enforce security best practices in real-time as developers code.
• Local Automation Scripts: Develop lightweight, executable "skills" or scripts (Python/Bash) for endpoint pre-push security reviews, enabling developers to self-assess code before committing.
• Pipeline Security Integration: Create and document best practices for GitHub Advanced Security (GHAS), optimizing CodeQL queries and Dependabot configurations for high-fidelity scanning.
• Developer Experience (DX): Ensure all security tools are frictionless and high value for developers, minimizing noise and false positives.
• Documentation: Write clear, actionable guides for engineering teams to adopt these new tools.

Required Knowledge & Skills:

• At least 3 years of experience in hands-on software development (Python, TypeScript, or Go preferred).
• Developer Tooling Expertise: Deep familiarity with modern IDEs (VS Code, Cursor) and their configuration ecosystems (settings.json, extensions, rules files).
• CI/CD & DevOps: Practical experience with GitHub Actions and GitHub Advanced Security features (CodeQL, Dependabot).
• Security Mindset: Deep understanding of SAST (Static Application Security Testing) for code quality and SCA (Software Composition Analysis) for dependency management (e.g., Dependabot, OSV).
• AI Coding Proficiency: Direct experience using and configuring AI coding tools (e.g., GitHub Copilot, Cursor) and understanding their context windows and prompting mechanisms.
• Scripting Master: Strong proficiency in writing portable scripts for local automation (Python, Shell).
• Problem Solving: Ability to create creative, lightweight solutions that run efficiently on local machines.
• Experience in AI tools: Proven ability to implement AI thinking in the team and drive efficiencies across development lifecycles.

Mandatory skill sets:

• AI/Agentic AI/Cursor, GitHub Copilot

Preferred skill sets:

• AI/Agentic AI/Cursor, GitHub Copilot

Years of experience required:

• 3-7 Years

Education qualification:

• B.Tech/B.E.
• Bachelor Degree

Required Skills:

• AI Ops

Optional Skills:

• Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Android, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD) {+ 44 more}