Shell
10,000+ employees
⥠Energy
đ° $750M Post-IPO Equity on 2021-10
Energy
Shell is a global group of energy and petrochemical companies, employing 103,000 people and with operations in more than 70 countries. It serves more than 1 million commercial and industrial customers, and around 33 million customers daily at more than 47,000 Shell-branded retail service stations. Its purpose is to power progress together by providing more and cleaner energy solutions.
AI Engineering Lead
đĽ 2 minutes ago
Where this job comes from
Posted on Shell's careers page, not through a job board
First seen by Remote Rocketship 2 minutes ago
Shell
10,000+ employees
⥠Energy
đ° $750M Post-IPO Equity on 2021-10
Energy
Shell is a global group of energy and petrochemical companies, employing 103,000 people and with operations in more than 70 countries. It serves more than 1 million commercial and industrial customers, and around 33 million customers daily at more than 47,000 Shell-branded retail service stations. Its purpose is to power progress together by providing more and cleaner energy solutions.
đ Description
⢠Lead enterprise AI solutions from feasibility assessment and prototype through production deployment, stabilization and operational handover ⢠Translate business requirements into solution architecture, delivery plans, engineering tasks and measurable acceptance criteria ⢠Guide delivery and integration of AI assistants, knowledge search, retrieval-augmented generation, intelligent agents and workflow automation ⢠Embed secure development, testing, deployment, monitoring, evaluation, documentation and rollback practices throughout delivery ⢠Ensure solutions meet security, privacy, responsible AI, performance, reliability, scalability and supportability requirements ⢠Coordinate multidisciplinary teams and external partners ⢠Manage technical risks and dependencies ⢠Review delivery quality ⢠Coach colleagues on effective AI engineering practices
đŻ Requirements
⢠10+ years of experience in IT, including software, data or platform engineering, or technology delivery ⢠2+ years of hands-on experience delivering AI, machine learning or generative AI solutions in an enterprise environment ⢠Proven experience leading complex technology delivery from feasibility through production and operational handover ⢠Strong knowledge of cloud platforms, enterprise data, APIs, business systems, identity and access management, CI/CD, MLOps, testing and monitoring ⢠Ability to provide practical technical direction, review engineering quality, resolve delivery issues and balance value, risk, cost, speed and quality ⢠Strong stakeholder management and cross-functional leadership ⢠Written and verbal English communication skills in global or matrix environments ⢠Experience with AI solution evaluation, reusable engineering standards, coaching, or complex business domains is preferred
đď¸ Benefits
⢠Flexible working hours ⢠Possibility of remote/mobile working ⢠Competitive starting salary ⢠Annual performance related salary increase ⢠Paid parental leave, including for non-birthing parents ⢠Training and development programmes ⢠Diverse career opportunities in national and international teams ⢠Opportunity to develop transferable skills ⢠Collaboration with experienced colleagues ⢠Values-led culture emphasizing honesty, integrity, respect, diversity and inclusion
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