{"id":3753990,"url":"https://alion.io/job/alcon-principal-data-science-sr-ai-engineer","title":"Principal, Data Science (Sr. AI Engineer)","company":{"id":5809,"name":"Alcon","domain":"alcon.com","url":"https://alion.io/company/alcon","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":53,"ghost_share":0.057,"stale_share":0.283,"repost_share":0.075,"time_to_fill_p50_days":29,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenSearch","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon Neptune","optional":true},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Neo4j","optional":true}],"status":"live","first_seen_at":"2026-11-04T16:19:34Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-09T07:57:17Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Summary of Position:\nWe are seeking a hands-on AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that accelerate innovation across Alcon R&D. The ideal candidate combines strong AWS Cloud expertise, professional AI coding skills, software engineering discipline, and end-to-end solutioning experience to address complex MedTech challenges.\nKey Responsibilities:\n· Design and develop AI and Generative AI applications using AWS services and modern AI frameworks.\n· Build Retrieval-Augmented Generation (RAG), AI agent, copilot, and intelligent document-processing solutions.\n· Develop secure, scalable APIs, microservices, and cloud-native applications.\n· Drive technical solution design, architecture reviews, rapid prototypes, and production deployment.\n· Implement MLOps and GenAIOps practices, including CI/CD, testing, monitoring, observability, and governance.\n· Collaborate with R&D, Clinical, Regulatory, Quality, and Medical stakeholders to translate business needs into practical AI solutions.\nKey Requirements/Minimum Qualifications:\n· Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field.\n· 5-7 years of experience in software, cloud, data, or AI engineering, with hands-on delivery of production-grade solutions.\n· Strong proficiency in Python and professional software engineering practices, including modular design, testing, code review, and AI-assisted coding.\n· Hands-on AWS experience, preferably including Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, OpenSearch, DynamoDB, Glue, Athena, and Step Functions.\n· Experience with LLMs, prompt engineering, RAG architectures, vector databases, AI agents, and model evaluation.\n· Experience developing REST APIs and microservices using frameworks such as FastAPI or Flask.\n· Working knowledge of Docker, Kubernetes, GitHub Actions, Terraform or CloudFormation, and CI/CD pipelines.\n· Strong analytical, problem-solving, communication, and stakeholder-management skills.\nPreferred Qualifications:\n· Experience in MedTech, healthcare, life sciences, clinical research, medical devices, quality, or regulatory environments.\n· Exposure to responsible AI, AI governance, security, privacy, and regulated-data practices.\n· Experience with knowledge graphs, Amazon Neptune or Neo4j, multimodal AI, and agentic frameworks such as LangGraph, CrewAI, or AutoGen.\n· Relevant AWS certification in Solutions Architecture, Developer, Data, AI, or Machine Learning.\nSuccess Profile\nTechnical Depth\nStrong AI coding, AWS architecture, and production engineering skills.\nProduct Mindset\nFocus on user value, scalability, quality, security, and measurable outcomes.\nSolution Ownership\nAbility to take use cases from discovery and design through deployment and support.\nCollaboration\nAbility to work effectively with technical teams and MedTech R&D stakeholders.\nWork hours: 1 PM to 10 PM IST\nRelocation assistance: Yes\nEmployment Scams: Alcon is aware of employment scams which make false use of our company name or leader’s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.\nIf you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.\nATTENTION: Current Alcon Employee/Contingent Worker\nIf you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.\nFind Jobs for Employees\nFind Jobs for Contingent Worker\nAlcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. 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