Lead Developer Python AI Gen

VistraIrving, TX
Hybrid

About The Position

As a Lead Developer (Python, GenAI), you will build the solutions that power our data-driven future. You will play a pivotal role within the Enterprise Data & Analytics team, improving our ML and modeling platforms, increasing the speed of data product delivery, and driving innovative business solutions alongside partners outside of Technology. Operating as a hands-on individual contributor, you will own the design and implementation of a diverse array of Python-based services which integrate LLM capabilities directly into our ecosystem while serving as a champion for Generative AI. This role requires strong independent execution, the ability to collaborate across diverse teams, and a mindset oriented toward enabling and uplifting those around you.

Requirements

  • 6–9 years of professional software development experience with a strong emphasis on Python.
  • Strong familiarity in applying Generative AI capabilities, including common patterns such as prompt design, Retrieval-Augmented Generation, embeddings & vector stores, and agentic AI.
  • Data centric engineering experience building services and tools within a data engineering organization. A "data-first" Python developer who understands the challenges of enterprise data systems.
  • Proven experience building and scaling software solutions in cloud environments (AWS preferred).
  • An enthusiasm for staying current with AI trends and the pragmatic ability to apply them.
  • Solid background in DevOps workflows, including Infrastructure as Code, containerization (Docker/Kubernetes), and CI/CD pipelines.

Responsibilities

  • Strategic Partnership: Collaborate with teams outside of Technology to identify and implement novel AI solutions that solve real-world challenges.
  • AI Integration: Embed Generative AI into workflows for developing enterprise data products and ML platforms to drastically improve efficiency and developer velocity.
  • Technical Excellence: Design, develop, and maintain high-quality Python applications and services while promoting best practices for testing, documentation, and maintainability.
  • Mentorship: Provide technical guidance and oversight to junior developers and offshore delivery resources.
  • Governance & Security: Partner with security, risk, and compliance teams to ensure all solutions meet enterprise standards for governance, privacy, and ethics.
  • Technology Evaluation: Proactively evaluate emerging technologies in the data and AI space to determine their practical viability and business value.
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