Senior

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Skills you'll use

What you'll do

• Solution & Application Development: Co-lead the technical execution of our solution roadmap, translating concepts and design prototypes into functional, production-grade applications spanning Python desktop tools, Databricks Apps, and Power Platform business applications.
• Backend Engineering: Co-lead the development of backend logic, data pipelines, and server-side automation to handle data processing, business rules, and integrations with enterprise systems.
• AI & Data Integration: Collaborate closely with data engineering and AI specialists to connect application components to back-end services, including knowledge stores, vector databases, and machine learning models.
• AI Engineering: Build production LLM applications such as chatbots, copilots, agents, and AI-assisted review and classification workflows.
• End-to-End Solution Architecture: Design complete operational systems — data model, automation logic, user interface, and deployment — evaluating multiple solution paths for scalability, maintainability, and business fit.
• Process Re-engineering & Automation: Assess existing business processes, identify automation opportunities, and deliver solutions that achieve measurable efficiency gains.
• Cross-Functional Collaboration: Work in an agile environment with product managers, UX/UI designers, and business stakeholders to rapidly iterate on features and deliver an exceptional user experience.
• Technical Leadership: Champion best practices in code quality, testing, performance, and documentation.

Who can apply

• 5-7 years building and deploying applications and automation solutions in an enterprise environment, including web apps (e.g., Databricks Apps).
• Strong programming skills in Python, including application development with complex business logic, error handling, and logging.
• Experience with LLMs: prompt engineering, RAG (Retrieval-Augmented Generation), and model evaluation techniques for generative AI.
• Experience with Azure AI Foundry, Azure OpenAI Service, or enterprise LLM deployment.
• Experience of building chatbots, agents, or enterprise LLM applications.
• Demonstrated experience integrating applications across systems using RESTful APIs.
• Power Platform: Experience building and delivering solutions on the Microsoft Power Platform, including Power Apps and Power Automate, for business applications, workflow automation, and approvals.
• Data Engineering: Experience with SQL Server and T-SQL (stored procedures, views) and building scheduled data integration jobs (e.g., SSIS or comparable ETL/ELT).

About KPMG Global Services

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