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About bp

bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future!

Summary

We’re looking for 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 Acceleration organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you’ll play a critical role in building and deploying scalable AI-powered applications through solid software engineering excellence 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 disciplined 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 cross 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 current with emerging AI technologies, but prioritize practical application and delivery over experimental research.
• Contribute to the internal knowledge base, tooling libraries, and documentation to scale AI engineering best practices across the organization.

Job Qualifications

• 5+ years of professional software engineering experience; ability to independently design and ship complex systems in production.
• Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, and backend systems. · Strong problem-solving skills and the ability to balance engineering rigor with delivery speed.
• Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), and modern DevOps practices.
• Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents and crew of agents etc.).
• Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred:
• Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems.
• Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them.
• Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits.
• Exposure to working with unstructured data (documents, conversations, images) and transforming it into usable structured formats.
• Experience building chatbots, search systems, or generative AI interfaces.
• Background in working within platform engineering or internal developer tools teams.
• Prior experience working in an embedded (forward-deployed) team model with business stakeholders. · Experience building production grade, reliable AI applications

If you're passionate about using AI to solve real-world problems and believe that great software engineering is the key to unlocking that value, we'd love to meet you.

At bp, we provide an excellent working environment and employee benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others.

We support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly.

There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, collaboration spaces in a modern office environment, and many others benefits.

Reinvent your career as you help our business meet the challenges of the future.

Apply now!

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Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please  contact us .

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.