Senior Software Engineer

Entity: Technology Job Family Group: IT&S Group Job Description: About bp/team bp technology is the central organization for all software and platform development. We build all the technology that powers bp’s businesses, from upstream energy production to downstream energy delivery to our customers. We have a variety of teams depending on your areas of interest, including infrastructure and backend services through to customer-facing web and native applications. We encourage our teams to adapt quickly by using native AWS and Azure services, including serverless, and enable them to pick the best technology for a given problem. This is meant to empower our software and platform engineers while allowing them to learn and develop themselves. Job Description: Summary We’re looking for software engineers who think holistically, automate relentlessly, and are fluent in the fast-moving world of AI tooling and infrastructure—but grounded in disciplined engineering principles. Our AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior Software Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering perfection combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical and scalable ways. We’re looking for individuals who thrive at the intersection of focused software development and modern AI applications. You should be comfortable working across the full lifecycle of a product—from ideation and architecture to deployment and automation—while navigating ambiguity and driving toward execution. Strong systems thinking, ownership mindset, and the ability to ship value fast are essential. Job Responsibilities Design, develop, and maintain production-grade AI applications and services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define and implement foundational platforms and tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable and scalable across the enterprise. Participate in multi-functional team initiatives—embedded projects with business stakeholders—to rapidly build and deploy AI solutions that solve high-priority business problems. Evaluate and integrate existing AI tools, frameworks, and APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows—from data management ingestion and preprocessing to evaluation, to model integration and deployment. Collaborate with data scientists, product managers, and other engineers to ensure end-to-end delivery and reliability of AI products. Stay ahead of emerging AI technologies, but prioritize practical application and delivery over experimental research.