{"id":1220644,"url":"https://alion.io/job/wipro-developer-ai-fullstack-aws-l3","title":"Developer AI Fullstack AWS - L3","company":{"id":224,"name":"Wipro","domain":"wipro.com","url":"https://alion.io/company/wipro","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"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":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Teradata","optional":false}],"status":"live","first_seen_at":"2026-09-25T11:50:16Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T00:11:40Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"What You’ll Do\nIn this role you will:\nDesign and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology.\nLead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.\nCreate the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.\nWork closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform.\nSucceed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.\nWho You’ll Work With\nOn our team, we:\nAre part of Teradata’s global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.\nOperate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.\nSolve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.\nCollaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.\nThis position reports into the AI engineering leadership team within Teradata’s global engineering organization.\nWhat Makes You a Qualified Candidate\nProven experience designing, developing, and deploying autonomous AI agents at scale.\nExpertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.\nHands-on experience implementing governance, safety, and compliance in agentic AI environments.\nAbility to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.\nStrong technical ability with intelligent automation, generative AI, and agentic system design.\nWhat You’ll Bring\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.\n3-5+ years of experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.\nDeep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.\nExperience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.\nAbility to design core agentic capabilities such as memory management, context handling, observability, and identity.\nStrong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).\nProficiency with containerization, CI/CD pipelines, and scalable production infrastructures.\nExcellent communication skills, documentation habits, and ability to mentor or collaborate across teams.\nPassion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.\nWhat You’ll Do\nIn this role you will:\nDesign and build intelligent, autonomous AI systems that enable Teradata to push the boundaries of enterprise-scale agentic technology.\nLead the development of scalable, secure, cloud-native frameworks that allow AI agents to reason, plan, act, and collaborate in real-world production environments.\nCreate the foundational runtime components, automation capabilities, and infrastructure that power next-generation GenAI and Agentic AI solutions.\nWork closely with AI researchers, platform teams, and product leadership to bring advanced agentic capabilities from concept to production across Teradata’s data and AI platform.\nSucceed in this role by enabling enterprise customers to leverage powerful, resilient, and safely governed AI agents that drive measurable business value.\nWho You’ll Work With\nOn our team, we:\nAre part of Teradata’s global engineering organization, responsible for building the technologies that power VantageCloud, our unified data and AI platform.\nOperate at the intersection of cloud computing, advanced analytics, and AI-driven automation to help enterprises unify and analyze data across hybrid and multi-cloud environments.\nSolve highly complex challenges in scalability, performance, interoperability, and intelligent automation to enable customers to turn data into insights and innovation.\nCollaborate across research, architecture, platform engineering, and product teams to shape the future of enterprise AI.\nThis position reports into the AI engineering leadership team within Teradata’s global engineering organization.\nWhat Makes You a Qualified Candidate\nProven experience designing, developing, and deploying autonomous AI agents at scale.\nExpertise in building agent-based architectures and runtime components for next-generation AI/LLM systems.\nHands-on experience implementing governance, safety, and compliance in agentic AI environments.\nAbility to partner effectively with product leaders, architects, and platform teams to define enterprise-grade AI capabilities.\nStrong technical ability with intelligent automation, generative AI, and agentic system design.\nWhat You’ll Bring\nBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.\n3-5+ years of experience in software architecture, backend development, or AI infrastructure, with strong Python skills and familiarity with Java, Go, and C++.\nDeep expertise in agent development, LLM integration, prompt engineering, runtime systems, and AI tooling.\nExperience with MCP servers, vector databases, RAG systems, graph-based memory, and NLP frameworks.\nAbility to design core agentic capabilities such as memory management, context handling, observability, and identity.\nStrong background in distributed systems, backend services, API design, and cloud-native deployments (AWS, Azure, GCP).\nProficiency with containerization, CI/CD pipelines, and scalable production infrastructures.\nExcellent communication skills, documentation habits, and ability to mentor or collaborate across teams.\nPassion for building safe, human-aligned, autonomous systems and extending open-source tools to innovate.","description_format":"text","description_chars":6343,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-09-25T11:50:16Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":0.9,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["conf:59","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/wipro-developer-ai-fullstack-aws-l3","json_url":"https://alion.io/job/wipro-developer-ai-fullstack-aws-l3.json","meta":{"generated_at":"2026-09-30T03:25:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2429,"day_limit":5000,"remaining_today":2571,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}