{"id":2896440,"url":"https://alion.io/job/ey-ai-developer-senior-ey-gds","title":"AI Developer - Senior - EY GDS","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":53000,"max_usd":138000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2216},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"C++","optional":false},{"name":"Docker","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"Keras","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qwen","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Rust","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-20T02:00:00Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-21T11:47:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The opportunity\nWe are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development.\nWe’re looking for an AI Developer with hands-on expertise in AI, machine learning, LLM-based solutions, RAG systems and cloud-native development to join our EY-Advisory-DE Team. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.\nEY GDS Digital Engineering is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. The Digital Engineering practice works with clients to analyse, formulate, design, mobilize and drive digital transformation initiatives.\nYour key responsibilities\nDesign, develop and implement AI/ML-powered solutions using LLMs, RAG architectures and prompt engineering best practices.\nBuild Python-based services, APIs and automation components to support scalable AI applications.\nIntegrate Azure OpenAI, Mistral, Qwen and other model providers into enterprise-grade solutions.\nDesign and implement agentic AI workflows using frameworks such as Auto-Gen and LangGraph.\nDevelop, train, validate and maintain machine learning/deep learning models using Scikit-learn, TensorFlow, Keras and N-BEATS where applicable.\nIntegrate data storage and retrieval capabilities using Azure Blob Storage, CosmosDB, MongoDB/NoSQL concepts, and SQL.\nDeploy serverless and containerized components using Azure Functions, Docker and cloud-native engineering practices.\nCreate unit tests, maintain code quality, use GitHub for version control, and support delivery through modern development tooling.\nApply secure engineering practices including Linux server hardening and operational readiness considerations.\nCollaborate with distributed teams, communicate technical decisions clearly and contribute to reusable delivery assets.\nSkills and attributes for success\nTechnical attributes:\nAI & ML: LLMs, Azure OpenAI, Mistral, Qwen, RAG Systems, Prompt Engineering, Agentic AI (Auto-Gen, LangGraph), N-BEATS, Scikit-learn, TensorFlow and Keras.\nCloud & Databases: Python (Expert), Azure Blob Storage, CosmosDB and MongoDB (NoSQL notions), SQL and Azure Functions.\nIntegration & Tools: REST APIs, GitHub, Docker, Unittest, VS Code and Linux Server Hardening.\nLanguages: Python (Specialized), Java, C++ and Rust.\nManagement attributes:\nExperience communicating technical study conclusions through written reports and presentations using tools such as PowerPoint, Excel and Word.\nExperience working under agile delivery methodology and collaborating with globally distributed teams.\nExperience researching new products/tools, validating emerging technologies and developing rapid prototypes.\nTo qualify for the role, you must have\nA bachelor's or master's degree.\n\nSpecialized Python development experience.\n\nHands-on experience with LLMs, Azure OpenAI, RAG systems and prompt engineering.\n\nExperience with cloud-native development using Azure Functions and Azure storage/database services.\n\nExperience building REST APIs and working with GitHub, Docker and unit testing practices.\n\nUnderstanding of secure engineering practices including Linux server hardening.\n\nWhat we look for\nExcellent Communication Skills\n\nTeam Player\n\nSelf-starter and highly motivated\n\nAbility to handle high pressure and fast paced situations\n\nExcellent presentation skills\n\nAbility to work with globally distributed teams.\n\nExcellent written and oral communication skills.\n\nWhat we offer\nEY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland and the UK - and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.\nContinuous learning:You’ll develop the mindset and skills to navigate whatever comes next.\n\nSuccess as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\n\nTransformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\n\nDiverse and inclusive culture:You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\n\nAbout EY\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.\nIf you can demonstrate that you meet the criteria above, please contact us as soon as possible.\nThe exceptional EY experience. 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