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Key skills for this role
Collaborative Teamwork: Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients’ needs.
Data Synthesis: Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
Rapid Iteration: Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed. You won’t just deploy software—you’ll help reshape how entire organizations work by putting powerful tools in the hands of executives and real operators.
Production-Grade Solutions: Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.
Collaboration: Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.
Key Responsibilities:
Deliver end‐to‐end, production-grade data and AI solutions on Databricks platforms.
Design and build scalable data pipelines, APIs, and user-facing applications using Spark and modern big‐data engines.
Design and build Databricks Apps, including both front‐end and back‐end components.
Integrate LLMs and AI APIs (OpenAI, Anthropic, Gemini) into applications and data workflows.
Deploy solutions to cloud environments (AWS, Azure, GCP) and monitor production systems for performance, reliability, and cost efficiency.
Debug complex issues across the full stack, including data pipelines, application services, cloud infrastructure, and AI integrations.
Implement CI/CD workflows, automated testing, and secure, repeatable production deployments.
Ensure data governance, quality, and security through best practices and tools like Unity Catalog.
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