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Entity: Technology Job Family Group: IT&S Group Job Description: We’re looking for a Principal AI Engineer who combines deep technical expertise with the ability to set direction, influence stakeholders, and shape the future of AI engineering across the enterprise. Our AI Acceleration organisation is building high-impact AI-powered applications that deliver measurable business value at speed. As a Principal AI Engineer, you will serve as both a hands-on technical leader and a strategic partner driving architectural choices, aligning with business and technology stakeholders, and ensuring that our AI systems are secure, reliable, and scalable. This is a role for leaders who thrive at the intersection of disciplined engineering, AI innovation, and organizational influence. You will work across teams and business units to align technical strategies, define reusable platforms, and raise the bar for how AI is built and operated at scale. You will shape the long-term roadmap for AI engineering while ensuring delivery on today’s most pressing priorities. * Set Technical Direction: Define the long-term technical strategy for AI engineering across the enterprise, ensuring alignment with organizational priorities and technology roadmaps. * Architect for Scale: Drive architectural decisions for platforms and applications that leverage LLMs, retrieval-augmented generation, AI agents, and unstructured data processing at enterprise scale. * Influence & Align: Partner with senior engineering leaders, product managers, business stakeholders, and governance teams to align AI initiatives with business value, compliance, and responsible AI practices. * Cross-Org Leadership: Lead multi-team initiatives, ensuring delivery of AI platforms and applications that are reusable, discoverable, and secure. * Raise the Bar: Mentor senior and staff engineers, fostering technical excellence, operational rigour, and a culture of innovation and reuse. * Future-Proof AI: Evaluate emerging AI frameworks, protocols, and ecosystems, identifying opportunities to standardise, reduce duplication, and avoid vendor lock-in. * Operational Excellence: Establish engineering standards, metrics, and best practices for deploying and operating AI systems reliably in production. * Thought Leadership: Represent AI engineering in internal and external forums, shaping industry perspective and ensuring bp remains a leader in practical AI adoption. * 12+ years of professional software engineering experience, with a track record of designing and delivering complex, production-grade systems. * Demonstrated experience leading cross-functional engineering initiatives at scale, with ability to influence without direct authority. * Expertise in modern software architecture, distributed systems, and cloud infrastructure (AWS, Azure, or GCP). * Deep hands-on experience integrating AI/ML systems into production environments, including LLMs, RAG, vector search, and AI agents. * Strong ability to communicate technical strategy to executives, engineers, and business partners alike. * Proven ability to set and enforce engineering standards for quality, security, and operational reliability. * Experience mentoring senior engineers and shaping the growth of engineering organisations. * Experience defining enterprise-level AI architectures, platforms, or internal developer tools. * Familiarity with AI orchestration frameworks (LlamaIndex, LangChain, Crew AI, AutoGen, etc.) and best practices for agentic systems. * Track record of contributions to open-source AI/ML communities or internal platform accelerators. * Background working in environments requiring compliance, security, and governance for AI applications. * Exposure to both traditional ML and modern GenAI systems, with ability to evaluate trade-offs and guide adoption. At bp, we provide an excellent working environment and employee benefits! We offer an open and inclusive culture and a great work-life balance. Tremendous learning and development opportunities are available to craft a career path, life and health insurance, medical care package and many others! We support our people to learn and grow in a diverse and exciting 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. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: AI Agents, Cloud Infrastructure, Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving, Software Engineering 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 ___. 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.

Entity: Technology Job Family Group: IT&S Group Job Description: 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! Role Summary We are looking for a highly skilled and experienced Staff AI Engineer to join our Data discipline. This role is ideal for someone who thrives at the intersection of software engineering and applied machine learning, and who is passionate about building scalable, production-grade ML systems that deliver measurable business impact. You will work closely with data scientists, software engineers, and product teams to design, develop, and deploy machine learning solutions across a variety of domains, including NLP, forecasting, optimisation, and generative AI. A strong emphasis is placed on applying machine learning science to real-world problems, particularly in scientific and R&D contexts. Key Responsibilities • Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability)., • Collaborate with cross-functional teams to translate business problems into ML solutions., • Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing., • Optimise model performance and ensure scalability and reliability in production environments., • Contribute to the design of ML system architecture and data infrastructure., • Apply machine learning science to complex, real-world problems in scientific and R&D domains, including experimentation, simulation, and lab automation., • Mentor junior engineers and data scientists, and contribute to technical design reviews., • Stay current with the latest ML research and tooling, and evaluate their applicability to our use cases. Required Qualifications • Experience in machine learning engineering or applied data science roles., • Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn., • Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs., • Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes)., • Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow)., • Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark)., • Strong communication skills and ability to work collaboratively in a team environment., • MSc or PhD in Computer Science, Engineering, Mathematics, or a related field. Desirable Skills • Experience with generative AI, LLMs, or retrieval-augmented generation (RAG)., • Exposure to vector databases and semantic search., • Knowledge of software engineering best practices and system design., • Experience applying machine learning and AI to scientific or R&D workflows, including experimentation, simulation, or lab automation., • Familiarity with uncertainty quantification, model interpretability, and experimental design in ML applications., • Experience with Agentic AI systems, including autonomous agents, tool use, and orchestration frameworks., • Proven track record of innovation through publications, invention disclosures, or patents in machine learning or AI., • Prior experience in energy, logistics, or industrial domains is a plus but not required. 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! Travel Requirement No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving 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 ___. 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.

Familiarity with GPU-accelerated workloads and distributed systems in AI/ML and HPC environments. Cisco Certified Specialist – Enterprise Core or Data Center Core. Build scalable spine-leaf architectures using Cisco Nexus 9000 or Arista switches, ensuring efficient Layer 2/Layer 3 segmentation and

Collaborate with engineers, product managers, and subject matter experts to turn technical capabilities into user-friendly solutions. Direct influence over product direction and the design function itself. A collaborative, globally distributed team of engineers, product specialists, and domain exper