{"id":2057562,"url":"https://alion.io/job/dassault-systemes-senior-ai-data-engineer-study-experience","title":"Senior AI & Data Engineer - Study Experience","company":{"id":144,"name":"Dassault Systemes","domain":"3ds.com","url":"https://alion.io/company/dassault-systemes","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":114750,"max":153000,"currency":"USD","period":"year","gross":null,"usd_annual":153000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"Anthropic","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"Claude","optional":true},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenAI","optional":true},{"name":"OpenSearch","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Terraform","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-10-07T03:10:31Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T22:20:50Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Senior AI & Data Engineer - Study Experience\nUnited States, NY, New York\nRegular\nApply\nKey Job Details\nLocation:\nUnited States, NY, New York\nJob type:\nRegular\nProduct:\nMEDIDATA\nExperience level:\n4 to 5 years\nPosted on:\n10/7/2026\nRef ID:\n550406\nShare Job\nLocation: This is a hybrid remote/in-office role.\nMedidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.\nAbout our Company:\nMedidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata's seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.\nOur team:\nThis position is for the Data Nexus team within Study Experience Engineering, focused on building Medidata's next generation of AI-enabled data platforms and intelligent applications. The team works across Generative AI, Agentic workflows, AWS, Snowflake, Apache Iceberg, Airflow, Python, and Java to power scalable data ingestion, transformation, APIs, analytics, and automation. You will work in a highly collaborative environment with engineering, product, QA, PMO, and platform teams to solve complex data and application challenges and bring AI-driven capabilities into Medidata's clinical technology ecosystem.\nWho we are looking for:\nReporting to the Director, Engineering, the Senior AI & Data Engineer - Study Experience will design, build, and operate production-grade AI and data solutions that enable intelligent applications, automation, analytics, and operational workflows.\nThis is a hands-on engineering role with a primary focus on Generative AI and agentic applications, supported by strong data and application engineering capabilities. You will build AI-enabled services, connect enterprise data and applications to LLM-powered workflows, and develop scalable data pipelines using modern cloud technologies.\nWhat You'll Do\nDesign and build production Generative AI applications, AI agents, and LLM-powered workflows for enterprise use cases.\nDevelop AI services and backend capabilities using Python, APIs, and cloud-native engineering patterns.\nBuild RAG and retrieval workflows that securely connect enterprise data and applications to AI solutions.\nImplement agentic workflows involving tool calling, structured outputs, retrieval, workflow execution, and external system integrations.\nWork with AI orchestration frameworks and emerging standards such as LangGraph, LangChain, MCP, or similar technologies.\nImplement testing, evaluation, guardrails, monitoring, and observability to improve the quality and reliability of production AI solutions.\nDesign and maintain scalable data pipelines and ETL/ELT workflows that support AI, analytics, and operational applications.\nBuild data solutions using AWS, Snowflake, Python, SQL, and modern data engineering technologies.\nDevelop and integrate APIs and backend services, including Java-based applications where needed.\nApply strong software engineering practices including automated testing, CI/CD, Git, security, documentation, and production support.\nUse AI-assisted development tools and coding agents as part of day-to-day design, coding, testing, debugging, and code review.\nCollaborate with engineers, architects, product teams, and business stakeholders on technical designs and production solutions.\nMentor engineers through technical guidance, code reviews, and knowledge sharing.\nWhat We're Looking For\n5+ years of professional experience in software engineering, AI engineering, data engineering, or a related technical discipline.\nStrong hands-on experience developing production applications and services using Python.\nPractical experience building or integrating Generative AI applications, LLM workflows, agentic systems, or AI-enabled services.\nGood understanding of RAG, embeddings, vector search, retrieval, grounding, and LLM orchestration concepts.\nExperience with at least one AI orchestration framework or emerging protocol such as LangGraph, LangChain, MCP, or equivalent technologies.\nStrong SQL and data engineering fundamentals, including experience building production data pipelines and integrations.\nExperience working with AWS and modern data platforms such as Snowflake.\nExperience developing or integrating REST APIs and backend services.\nStrong understanding of modern software engineering practices including automated testing, CI/CD, version control, observability, and production support.\nAbility to independently troubleshoot complex issues across AI services, APIs, data pipelines, and cloud environments.\nStrong communication and collaboration skills and the ability to contribute effectively to technical design discussions.\nPreferred Skills\nExperience with managed AI platforms or models such as AWS Bedrock, Anthropic Claude, OpenAI APIs, Azure OpenAI, or similar technologies.\nExperience with vector and search technologies such as OpenSearch, pgVector, Pinecone, Weaviate, or similar platforms.\nExperience building MCP servers, tools, or enterprise AI integrations.\nFamiliarity with data technologies such as Airflow, Kafka, Apache Iceberg, or dbt.\nExperience with Docker, Kubernetes, Terraform, or similar cloud-native technologies.\nFamiliarity with AI evaluation, prompt/version management, structured logging, and AI observability.\nUnderstanding of AI governance, data privacy, security, responsible AI, and human-in-the-loop patterns.\nExperience working in regulated industries such as Life Sciences or Healthcare.\nAs with all roles, Medidata sets ranges based on a number of factors including function, level, candidate expertise and experience, and geographic location.\nThe salary range for positions that will be physically based in the NYC Metro Area is $114,750-153,000\nThe salary range for positions that will be physically based in all other locations within the United States is $102,750-137,000.\nBase pay is one part of the Total Rewards that Medidata provides to compensate and recognize employees for their work. Most sales positions are eligible for a commission on the terms of applicable plan documents, and many of Medidata's non-sales positions are eligible for annual bonuses. Medidata believes that benefits should connect you to the support you need when it matters most and provides benefits, including medical, dental, life and disability insurance, 401(k) matching, family leave, flexible paid time off; and 10 paid holidays per year.\nEqual Employment Opportunity:\nIn order to provide equal employment and advancement opportunities to all individuals, employment decisions at Medidata are based on merit, qualifications and abilities. Medidata is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age, disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. Medidata will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.\nWe will accept applications on an ongoing basis until we fill the position.\nInclusion statement\nIn order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.\nQualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.\n Salary Pay Transparency\nCompensation for the role will be commensurate with experience. The total expected compensation range will be between $114750 and $153000, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.\nApply\nDassault Systèmes\">\nMEDIDATA generates the evidence and insights to help pharmaceutical, biotech, medical device and diagnostics companies, and academic researchers accelerate value, minimize risk, and optimize outcomes.\nWant to learn more?\nVisit the other sections of our website to find out more.\nOur Culture & Values\n Discover our culture and values.\nTake me there\nYour Recruitment Journey\n Get to know about your recruitment journey.\nKnow more\nStudents & Graduates\n Be part of the future of our workforce - check out internship and job opportunities.\nLearn more","description_format":"text","description_chars":10252,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CAD, PLM & BIM Software","Simulation & Digital Twin Software","Clinical Trial Software","Manufacturing & Industrial Software"],"lifecycle":[{"event":"open","at":"2026-10-08T00:32:12Z"}],"visa":[],"liveness":{"score":57,"band":"ok","label":"Likely open","p_open":0.9,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":22,"reasons":["conf:49","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":153000,"is_top_pay":false},"html_url":"https://alion.io/job/dassault-systemes-senior-ai-data-engineer-study-experience","json_url":"https://alion.io/job/dassault-systemes-senior-ai-data-engineer-study-experience.json","meta":{"generated_at":"2026-10-12T04:24:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6955,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":144},"rest":"https://alion.io/mcp/rest/get_company?id=144"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdassault-systemes-senior-ai-data-engineer-study-experience"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdassault-systemes-senior-ai-data-engineer-study-experience"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdassault-systemes-senior-ai-data-engineer-study-experience"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/dassault-systemes-senior-ai-data-engineer-study-experience\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdassault-systemes-senior-ai-data-engineer-study-experience"}]}