Banco BV

GenAI Engineering Coordinator (Affirmative Position for Women)

PythonJavaNode.jsDockerKubernetes
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About the opportunity

We are banco BV, one of the largest financial institutions in Latin America, with over 37 years of market experience. Our purpose is to enable our clients' dreams and projects, transforming credit into relationships. For the second consecutive year, we have been recognized as the Best Financial Institution to Work For, according to the 2025 GPTW ranking!

Our culture is agile, digital, and customer-centric. We combine people and technology to orchestrate and drive our deliveries. Our credit is not just a number. It is a strong and real relationship.

Take a look at the challenges that await you here at BV

  1. Lead and develop the AI Engineering team, promoting technical evolution, autonomy, collaboration, and high performance.
  1. Define and execute the AI roadmap, connecting technological innovation to strategic business objectives.
  1. Manage the portfolio of AI initiatives, from evaluating opportunities to implementation and generating results.
  1. Drive the adoption of Generative AI and intelligent agents, accelerating the transformation of processes and products.
  1. Ensure the evolution of the corporate AI platform, with a focus on scalability, security, governance, and observability.
  1. Work in partnership with business, data, architecture, and engineering areas to deliver solutions that generate value sustainably.
  1. Establish best practices for architecture, development, and operation of AI-based solutions.

Minimum requirements

So, does this sound like you? Now we would like to know if you have the profile and knowledge below:

Leadership Profile

  1. Experience in leading and developing technical Engineering, Architecture, or AI teams.
  1. Experience in managing roadmaps, portfolios, backlogs, and prioritizing initiatives.
  1. Ability to translate business challenges into scalable technological solutions.
  1. Experience in stakeholder management and influencing strategic decisions.
  1. Track record of building high-performance teams, with a focus on continuous development and delivering results.

Technical Knowledge

  1. Practical experience in building and implementing AI agents, multi-agent systems, and applications based on LLMs.
  1. Knowledge of Generative AI, RAG, prompt engineering, model evaluation, memory, and agent orchestration.
  1. Experience with frameworks such as ADK, LangGraph, LangChain, CrewAI, or similar.
  1. Experience with Google Cloud Platform, especially Vertex AI, Gemini Enterprise, GKE, Cloud Run, and Cloud Functions.
  1. Knowledge of software engineering, APIs REST, microservices, events, and distributed architectures.
  1. Experience with Python and knowledge of Java or Node.js.
  1. Knowledge of Docker, Kubernetes, CI/CD, LLMOps, AgentOps, and observability of AI applications.
  1. Experience with governance, security, compliance, and Responsible AI practices.

It is a plus if you have:

  1. Experience in building large-scale corporate AI platforms.
  1. Google Cloud certifications, Architecture, or Artificial Intelligence.
  1. Knowledge of MCP protocols and A2A. Experience in digital transformation and innovation environments.
  1. Experience in the financial market or large companies. Experience in governance initiatives and the responsible use of Artificial Intelligence.

Diversity and inclusion

  1. We invite Black people, women, professionals with disabilities, the LGBTQIA+ community, and people of any age to get to know us a little better and to apply for this position.

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