Senior AI Engineer

About the jobJob Title – Senior AI EngineerJob Nature – Full-timeExperience – 6 to 8 yearsAbout AMDC AIThe AMDC AI Team enables business divisions to create measurable value through the responsible use of Artificial Intelligence. We act as a transversal capability across the organization, delivering AI solutions, scaling reusable platforms, and ensuring secure, compliant, and sustainable AI adoption.Our projects span finance, supply chain, manufacturing, logistics, HR, health & safety, and enterprise functions, including document automation, forecasting, computer vision, predictive maintenance, optimization, and LLM-powered assistants.Role OverviewAs a Senior AI Engineer, you will design, build, and operate production-grade AI systems end to end. This role sits at the intersection of machine learning, software engineering, and enterprise delivery.You will work on a mix of:LLM-based solutions (API-based models, RAG, agents)Classical ML / DL systems (forecasting, anomaly detection, computer vision)Senior AI Engineers are expected to work independently with minimal guidance, own solutions end to end, and contribute to setting technical standards across the AI portfolio.Key ResponsibilitiesDesign and implement end-to-end AI solutions from problem framing to productionBuild and operate LLM-powered systems (prompting, RAG, agents, evaluation, guardrails)Develop, train, and deploy ML/DL models where appropriateTranslate business problems into robust, measurable AI use casesCollaborate with data engineers, software engineers, and domain expertsEnsure AI solutions are reliable, scalable, secure, and maintainableContribute to AI architecture, best practices, and reusable componentsSupport monitoring, evaluation, and continuous improvement of AI systemsRequired Skills & Experience6+ years of experience in AI, machine learning, or applied data science rolesStrong programming skills (Python required)Hands-on experience with ML/DL frameworks and librariesExperience working with API-based LLMs and modern GenAI patterns (e.g. RAG, multi-agents)Solid software engineering fundamentals (modularity, testing, version control)Experience deploying and operating AI systems in productionAbility to work independently, structure work, and manage risks proactivelyStrong problem-solving and system design skillsNice to HaveExperience with enterprise data platforms and ERP integrations (e.g. SAP)Exposure to cloud environments and MLOps toolingExperience with computer vision, time series, or optimization problemsFamiliarity with responsible AI, explainability, and governance conceptsAcademic Background and QualificationsBachelor’s or master’s degree in computer science, Engineering, (BE / ME – Computer Science, Computer Science or IT , MCA).Work Location – Hyderabad Time Zone – Selected candidate is required to work as per:

• India Time (IST) / European Time (CET/GMT) / Americas Time Zone (EST)