{"id":200845,"url":"https://alion.io/job/shell-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3638,"name":"Shell","domain":"shell.com","url":"https://alion.io/company/shell","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":37,"ghost_share":0.027,"stale_share":0.054,"repost_share":0.297,"time_to_fill_p50_days":14,"computed_at":"2026-10-22T06:10:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":70000,"max_usd":147000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Azure","optional":false},{"name":"Cohere SDK","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flask","optional":false},{"name":"Git","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"MLFlow","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"OpenAI","optional":false},{"name":"Pandas","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Weaviate","optional":false}],"status":"closed","first_seen_at":"2026-09-04T12:17:10Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-21T19:47:38Z","board_verified":false,"closed_at":"2026-10-21T19:47:38Z","days_open":47,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":46},"description":", Singapore Job Family Group:\nInformation Technology (IT)Worker Type:\nRegularPosting Start Date:\nSeptember 22, 2026Business Unit:\nInformation & Digital TechnologyExperience Level:\nExperienced ProfessionalsJob Description:\nAbout the Role\nWe are seeking an experienced Senior AI Engineer to design, build, deploy, and scale AI-powered products and services that deliver measurable business value. This role focuses on transforming machine learning and generative AI concepts into production-ready solutions that integrate seamlessly into enterprise workflows.\nYou will work across the full AI solution lifecycle, from rapid prototyping and experimentation to deployment, monitoring, and continuous improvement. Partnering closely with data scientists, product managers, platform teams, and business stakeholders, you will help shape and deliver innovative AI capabilities that drive operational efficiency and business outcomes.\nThe ideal candidate combines strong software engineeringexpertisewith hands-on experience in machine learning, large language models (LLMs),MLOps, and responsible AI practices. You are passionate about solving complex problems, delivering scalable solutions, and enabling the successful adoption of AI technologies within an enterprise environment.\nAccountabilities:\nAI Solution Development\nDesign, develop, deploy, and support AI, machine learning, and generative AI solutions.\n\nBuild and integrate LLM-powered applications into enterprise workflows.\n\nDevelop scalable APIs and AI services, from prototype through to production.\n\nMachine Learning & GenAI Engineering\nCollaborate with data scientists to operationalize machine learning, NLP, and AI models.\n\nBuild evaluation, orchestration, and retrieval pipelines to support AI solutions.\n\nSupport data preparation, model optimization, and performance improvement initiatives.\n\nMLOps& Responsible AI\nImplement model monitoring, versioning, experiment tracking, and performance management.\n\nEstablish processes to detect model drift andmaintainproduction reliability.\n\nPromote responsible AI practices, including explainability, governance, and risk mitigation.\n\nStakeholder Collaboration & Delivery\nPartner with product, engineering, platform, security, and business teams to deliver scalable AI solutions.\n\nTranslate business requirements into practical technical solutions.\n\nContribute to engineering best practices, knowledge sharing, and mentoring within the team.\n\nSkills and Requirements\nBachelor's orMaster's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, ora relateddiscipline.\n\nProven experience delivering AI, ML, or software engineering solutions in production environments.\n\nStrong Python programming skills.\n\nExperience with data processing and analytics tools such as SQL, Pandas, and NumPy.\n\nKnowledge of software development best practices, Git, and version control.\n\nExperience developing and deploying AI services usingFastAPI, Flask,MLflow, or similar technologies.\n\nHands-on experience building LLM applications usingLangChain,LlamaIndex, or equivalent frameworks.\n\nExperience integrating foundation model APIs such as OpenAI, Anthropic, Cohere, or Mistral.\n\nUnderstanding ofmachine learning concepts, model deployment, and operationalization.\n\nExperience with vector or graph databases (e.g., FAISS, Pinecone,Weaviate, Neo4j).\n\nStrong communication, stakeholder engagement, and collaboration skills.\n\nPreferred Technical Skills\nExperience with machine learning frameworks such as Scikit-learn, TensorFlow, orPyTorch.\n\nUnderstanding ofdeep learning, transformers, and foundation models.\n\nKnowledge of NLP concepts, including embeddings, RAG, and language models.\n\nExposure to computer vision applications.\n\nExperience with prompt engineering, model fine-tuning, and evaluation techniques.\n\nFamiliarity withMLOpspractices, including model monitoring, governance, and deployment.\n\nExperience managing model performance, drift detection, and observability.\n\nKnowledge of Responsible AI and AI governance principles.\n\nExperience working with Azure cloud platforms and enterprise-scale AI solutions.\n\nNice to Have\nExperience within Oil & Gas, Energy, Trading, Shipping, ETRM, or other complex industrial environments.\n\nExperience delivering digital products within highly regulated enterprise environments where security, resilience, governance, and compliance are critical.\n\nWhat You'll Bring\nA strong delivery mindset with the ability to balance innovation, speed, and scalability.\n\nExceptional problem-solving and analytical skills, with the ability to evaluate multiple technical approaches andidentifyfit-for-purpose solutions.\n\nExperience translating complex business challenges into practical AI solutions.\n\ncollaborative approach and the ability to work effectively across multidisciplinary teams.\n\nPassion for emerging AI technologies and their application to real-world business problems.\n\nCommitment to high engineering standards, quality, security, and responsible AI practices.\n\nStrong communicationand influencing skills, with the ability to engage both technical and non-technical stakeholders.\n\ncontinuous improvement mindset and a desire to share knowledge, mentor others, and contribute to team success.\n\nAfter you submit your application, you will receive an email providing a link to an online assessment that is a mandatory part of the process and has a validity period. The email will come from Shell (HireVue) - please check your spam/junk mailbox if you do not see the email. \nOnce completed, your application will be reviewed to determine next steps. \nWhat we offer\nYou bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You’ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You’ll be able to balance your priorities as you become the best version of yourself.\nProgress as a person as we work on the energy transition together.\n\nContinuously grow the transferable skills you need to get ahead.\n\nWork at the forefront of technology, trends, and practices.\n\nCollaborate with experienced colleagues with unique expertise.\n\nAchieve your balance in a values-led culture that encourages you to be the best version of yourself.\n\nBenefit from flexible working hours, and the possibility of remote/mobile working.\n\nPerform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world.\n\nTake advantage of paid parental leave, including for non-birthing parents.\n\nJoin an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.\n\nGrow as you progress through diverse career opportunities in national and\n\ninternational teams.\n\nGain access to a wide range of training and development programmes.\n\nWe'd like you to know that Shell has a bold goal: to become one of the world’s most diverse and inclusive companies. You can get to know more about how we're working towards that goal,click here.\nWe are committed to attracting a broader and more diverse pool of candidates. If this position doesn’t feel like the perfect fit for your qualifications right now, we’d still love to hear from you. Consider creating a profile in ourTalent Communityso we can keep you in mind for future opportunities that may align with your skills.\nShell in Singapore\nShell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country’s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.\n-\n DISCLAIMER:\nPlease note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. 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