{"id":1066069,"url":"https://alion.io/job/nagarro-associate-principal-engineer-ai-architect-5","title":"Associate Principal Engineer, AI Architect","company":{"id":2457,"name":"Nagarro","domain":"nagarro.com","url":"https://alion.io/company/nagarro","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":94,"open_postings":86,"ghost_share":0,"stale_share":0.256,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-01T05:45:00Z"}},"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":51000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubeflow","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Vertex AI","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-09-01T09:38:06Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-01T15:55:22Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"We're Nagarro.\nWe are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!\n REQUIREMENTS:\nTotal experience 9+ years.\nShould have experience in software engineering, with strong depth in Python.\nShould have proven experience architecting and delivering production-grade Generative AI applications at scale.\nShould have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design.\nShould have strong system design skills across backend, frontend, and AI infrastructure layers.\nMust have experience defining technical strategy and influencing architecture across teams or pods.\nMust have experience with microservices, APIs, and scalable backend systems.\nStrong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance.\nHands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar.\nShould have deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks\nShould have strong grasp of security, privacy, and governance considerations for enterprise AI.\nMust have ability to translate ambiguous business problems into durable technical architectures.\nShould have excellent communication skills, with the ability to influence senior stakeholders and technical leadership.\nRESPONSIBILITIES:\nUnderstanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.\nOwn the architecture and technical vision for AI-powered, user-facing applications built with Python, React, and Generative AI.\nDesign scalable, secure, and cost-efficient backend platforms for LLM inference, RAG pipelines, and agent-based orchestration.\nDefine frontend architecture and UX patterns for AI-native applications, including conversational interfaces, copilots, and intelligent dashboards.\n Lead the design and implementation of complex GenAI workflows that combine LLMs, tools, APIs, structured data, and user context.\nEstablish engineering standards and best practices for prompt design, model integration, evaluation, and observability.\nDrive GenAI platformisation—building reusable components, SDKs, and frameworks used across multiple teams or products.\nPartner with product, design, data, and business leaders to translate strategic objectives into scalable technical solutions.\nReview critical designs and codebases, unblock teams on complex technical challenges, and raise the overall engineering bar.\nLead technical discovery and solutioning for high-impact initiatives, including client or executive-facing workshops when required.\nEnsure enterprise readiness: security, privacy, compliance, governance, and responsible AI practices.\n Use AI-assisted development tools (e.g., Copilot, Claude Code) to accelerate delivery while maintaining production-grade quality.\nMapping decisions with requirements and be able to translate the same to developers.\nIdentifying different solutions and being able to narrow down the best option that meets the client’s requirements.\nDefining guidelines and benchmarks for NFR considerations during project implementation\nWriting and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers\nReviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.\nDeveloping and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it\nUnderstanding and relating technology integration scenarios and applying these learnings in projects\nResolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.\nCarrying out POCs to make sure that suggested design/technologies meet the requirements.\n Bachelor’s or master’s degree in computer science, Information Technology, or a related field.","description_format":"text","description_chars":4455,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-19T17:53:23Z"}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.731,"p_room":0.55,"age_days":29,"expected_fill_days":26,"reasons":["conf:20","velocity","win:tail","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/nagarro-associate-principal-engineer-ai-architect-5","json_url":"https://alion.io/job/nagarro-associate-principal-engineer-ai-architect-5.json","meta":{"generated_at":"2026-10-01T21:50:49Z","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":4435,"day_limit":5000,"remaining_today":565,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}