About the role
Preferred locations, in order: Bengaluru, Chennai, Hyderabad, Pune. Relevant AI engineering experience and hands-on depth in at least one technical area below, supported by strong programming, debugging and testing skills. At least one delivered component or system you can explain in depth: your contribution, design choices, tests, failures and results. Show both practical problem framing and personal implementation work. Excellent written and spoken communication, ownership and follow-through. Work independently within your scope, seek feedback and collaborate with others. Own a defined piece of delivery as an individual contributor and team player. Support discussions with AI, data and engineering leaders and contribute evidence for CxO discussions. grows, take on larger components and help other engineers. Implementation depth in at least one area is required. Different combinations are welcome; use evidence relevant to your specialization. AI and decision systems: build or evaluate ML, Generative AI, Data Science or Decision Science solutions. Explain model or retrieval quality, failure cases and how outputs are checked. Data and analytics: build SQL transformations, data models or cloud pipelines that support usable enterprise analytics. Show data quality checks on AWS, Azure, Google Cloud or another hyperscaler. Enterprise engineering: implement APIs, middleware integrations or delivery automation. Show tests and release controls using relevant DevOps, DataOps, DataSecOps or release management practices. Contribution to an enterprise AI transformation workstream, client workshop, partner demonstration or executive presentation. Domain exposure in healthcare and life sciences (HCLS), banking, financial services and insurance (BFSI), HiTech or another industry. Open-source work, internal tools or other evidence of self-directed building; applied AI governance, Work from an Ascendion office or client location; permanent work from home is not offered. Clarify requirements with client engineers and domain experts. Propose practical options and connect implementation choices to the business problem. Build, debug, integrate and test solutions. Follow work through release and resolve issues in the components you own. Collaborate with Ascendion teams, technology partners and alliances to resolve dependencies and earn client trust through reliable delivery. Use AI tools with judgment. Verify their output and apply relevant security, data quality, privacy and responsible AI practices.