B

BP

Global energy company transitioning to renewables

Forward Deployed Engineer - AI & Trading

AI Application EngineeringPosted on Nov 13
Full-timeNo salary listed

About the Job

Requirements

  • Experience in software, data, artificial intelligence, or quantitative engineering.
  • Hands-on experience with application programming interfaces, cloud services, Structured Query Language or data stores, version control, testing, and continuous integration and continuous delivery.
  • Experience taking solutions from early concepts or prototypes through to reliable production use.
  • Experience evaluating large language model-based tools, including measuring output correctness, grounding answers in trusted data, and detecting failures before users do.
  • Understanding of secure engineering, access controls, monitoring, and operational resilience.
  • Practical experience with generative artificial intelligence, agentic systems, or large language model-based applications.
  • Strong Python skills and experience in software, data, artificial intelligence, or quantitative engineering.
  • Ability to work across commercial and technical teams.
  • Experience with commodities, financial markets, trading, or another commercially critical environment is valuable but not essential.

Responsibilities

  • Work closely with traders and originators to understand workflows, challenges, and opportunities where artificial intelligence can add value.
  • Build artificial intelligence-enabled skills, agents, workflows, and decision-support tools.
  • Turn prototypes into secure, tested, and maintainable production solutions.
  • Develop integrations with approved trading, market data, analytics, and operational data sources.
  • Monitor solution performance and provide application support during trading hours.
  • Troubleshoot issues, support incident resolution, and improve solutions based on lessons learned.
  • Help users build confidently with approved artificial intelligence tools through practical coaching and support.
  • Apply responsible artificial intelligence, security, and governance standards throughout development.
  • Partner with teams across Product, Technology, Data, Digital Security, and Artificial Intelligence Governance.
  • Share reusable tools, engineering patterns, and good practices across the global GLights network.

Desired Qualifications

  • Experience with Amazon Web Services, containers, infrastructure as code, or observability tools.
  • Familiarity with Model Context Protocol, event-driven architectures, or reusable integration services.
  • Knowledge of market data, trading controls, artificial intelligence governance, or information security.
  • Experience working with trading, origination, quantitative, or front-office teams.
  • Experience creating engineering approaches or tools adopted across multiple teams.

About the Company

BP

Global energy company transitioning to renewables

BP operates as a global energy company that supplies oil, gas, and electricity while also investing in renewable energy projects such as solar and offshore wind. It manages exploration, production, and distribution of energy resources and aims to help the world move toward a net-zero future by growing its renewable energy capacity and reducing carbon emissions. Unlike firms that focus only on fossil fuels or renewables, BP combines traditional energy with a broad, ongoing shift toward sustainable solutions, funded by strategic investments in climate-friendly projects. Its goal is to provide reliable energy to governments, businesses, and consumers while delivering value to shareholders and supporting societal sustainability goals.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1909

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