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Job Summary

We are looking for an expert and hands-on Tech Lead (Senior Enterprise Technology Engineer) with at least 8 years of experience in Data Engineering, Artificial Intelligence, and Enterprise Technology platforms.

This role is focused on designing, building, integrating, and supporting enterprise-grade data and AI solutions that enable digital transformation across the Shipping business.

This is a hands-on technical leadership role, with an expectation to personally contribute to solution architecture, engineering design, data pipeline development, GenAI application delivery, code reviews, technical governance, and operational support.

The successful candidate will combine strong technical expertise with leadership capabilities to drive the adoption of modern Data & AI platforms, Generative AI, and sophisticated analytics solutions.

Job Responsibilities

• Lead the end-to-end design, development, implementation, and support of enterprise Data & AI solutions, providing hands-on technical leadership, mentoring engineering teams, and driving innovation through emerging technologies and engineering guidelines.
• Design and deliver scalable, secure, and governed data platforms and products using data lakes, lakehouses, warehouses, and real-time/batch data pipelines to enable enterprise analytics, AI, and business intelligence solutions.
• Design, develop, and operationalize enterprise AI solutions using Machine Learning, Generative AI, LLMs, RAG, and agentic AI patterns, incorporating model optimization, evaluation frameworks, and responsible AI guardrails to deliver secure, scalable, and business-centric intelligent applications.
• Develop and maintain robust ETL/ELT, data integration, and automation frameworks, ensuring high standards of data quality, integrity, lineage, governance, and reusability across the enterprise data ecosystem.
• Design and implement secure, scalable, API-led and event-driven integration solutions that seamlessly connect AI services, data platforms, and enterprise applications through reusable connectivity patterns and modern integration architectures.
• Establish and operate enterprise-grade LLMOps and MLOps capabilities, including CI/CD, model lifecycle management, observability, monitoring, governance, compliance, and responsible AI practices to ensure reliable and scalable AI solutions in production.
• Partner with business collaborators to translate strategic requirements into scalable technology solutions, effectively communicate sophisticated technical concepts, and drive measurable business outcomes through innovation, strong problem-solving, and commercial competence.

Education & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
• Minimum 8 years of experience in enterprise technology delivery, with minimum 3 years as a technical lead
• Tried experience leading enterprise-scale Data Engineering and AI solution implementations
• Strong experience working within Agile and product-based delivery environments.

Core Technical Skills

• Hands-on experience designing and deploying Machine Learning and Generative AI solutions using LLMs, RAG, vector databases (e.g., Azure AI Search, LlamaCloud, Databricks Vector Search), agentic AI frameworks (e.g., LangChain, LangGraph, LlamaIndex, AutoGen), and cloud AI platforms (Azure AI Foundry, AWS Bedrock)
• Expertise in prompt engineering, fine-tuning, model optimization, evaluation frameworks, and implementation of Responsible AI, guardrails, and governance controls Databricks, Microsoft Fabric, Snowflake, Spark, Kafka, and related technologies Data governance, lineage, cataloging, and quality management.
• Strong skills in Python, SQL, API development and enterprise integrations.CI/CD for ML and AI solutions, AI platform operations and production support.
• Experience in data visualization, Q&A chatbots, and business insight generation.
• Strong technical leadership and mentoring capabilities, with excellent written and verbal communication skills, and ability to work optimally across multidisciplinary teams.
• Ability to resolve sophisticated business and technical challenges with commercial awareness and a business-focused attitude.

Desirable Skills

• Experience within Shipping, Maritime, or Logistics domains.Knowledge of vessel, voyage, customer due diligence (CDD), compliance, or maritime operational data.

About bp

Our purpose is to deliver energy to the world, today and tomorrow. For over 100 years, bp has focused on discovering, developing, and producing oil and gas in the nations where we operate. We are one of the few companies globally that can provide governments and customers with an integrated energy offering. Delivering our strategy sustainably is fundamental to achieving our ambition to be a net zero company by 2050 or sooner!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Additional Information

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, veteran status, or disability status.

Even though the job is advertised as full time, please contact the hiring manager or the recruiter as flexible working arrangements may be considered.

What you can expect from us!

Our commitment to diversity, equity and inclusion:

At bp, you could be part of Business Resource Groups (BRGs) which belief in the power of inclusion, deeper connections, and shared experiences. They provide a place for employees to learn and share knowledge, to connect, and to improve. The BRGs focus on and encourage talent engagement, development, and retention while creating a broadened sense of community and inclusion for bp employees. The groups cultivate leadership growth by involving employees in developmental opportunities they would not otherwise have access to. Formal and informal mentoring also helps employees develop their professional goals and connect with colleagues. The BRGs’ dedication to growth at all levels helps employees feel more engaged and energized. The BRGs break down barriers, so we can all do better together. Examples of BRGs include (but are not limited to):

bpWIN (bp Women’s International Network)
Pride
Working parents
PEN (Positively Ethnic Network)
bpInclusia (bp’s Asian community)
bpEnergía (bp’s Latin community)

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Legal Disclaimer:

We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, 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.