{"id":1229894,"url":"https://alion.io/job/lyzr-lead-core-engineer-architect","title":"Lead Core Engineer / Architect","company":{"id":1805441,"name":"Lyzr","domain":"lyzr.ai","url":"https://alion.io/company/lyzr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":64,"open_postings":27,"ghost_share":0.593,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-27T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":{"min_usd":34000,"max_usd":78000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":929},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-06-18T10:13:20Z","employer_posted_date":"2026-07-09","last_verified_at":"2026-09-27T16:14:09Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":100},"description":"About Lyzr AI\nLyzr is building the foundation layer for agentic AI systems - making it radically simpler to build, deploy, and scale intelligent agents in production.\nWe believe the future of software is agent-first. Not wrappers. Not demos. Real systems that reason, act, observe, and improve over time.\nWe’re looking for Core Engineers who want to work at the deepest layers of agentic infrastructure - the runtime, orchestration, memory, tool execution, and guardrails that power real-world AI systems.\nIf you’re excited by how agents actually work under the hood, this role is for you.\nWhat You’ll Do:\nOwn end-to-end architectural decisions across backend services, frontend platforms, and infrastructure - ensuring systems are scalable, resilient, and cost-efficient.\n\nDefine and champion engineering standards, design patterns, and architectural principles that teams actually want to follow.\n\nLead architecture reviews - evaluate new proposals, identify risks early, and guide squads toward the right trade-offs.\n\nDrive backend excellence: microservices design, API contracts, data modelling, event-driven architecture, and performance at scale.\n\nPartner with frontend leads to shape component architecture, state management, and web performance standards across web and app.\n\nCollaborate with DevOps/SRE on cloud infrastructure, deployment strategies, observability, cost and reliability best practices.\n\nAct as a technical mentor - build architectural thinking and engineering craft across the organisation\n\nTranslate product ambitions and growth targets into concrete technical roadmaps with clear Milestones.\n\nLead AI-first architecture: ML Ops /LLM Ops, feature stores, vector search/RAG, real-time inference, evaluation/guardrails, responsible AI, model observability and governance\n\nWhat we're looking for\n10 or more years of experience in software, cloud, or platform architecture leadership roles.\n\nStrong backend fundamentals; Python preferred\n\nExpertise in multi-tenant, distributed, microservices based systems on AWS, experience in Azure or GCP valued.\n\nProven experience designing and governing high performance, high traffic digital platforms.\n\nProven delivery of AI/ML and GenAI to production at scale (ML Ops/LLM Ops, guardrails, monitoring, governance)\n\nExperience with AI, machine learning, and automation for intelligent operations and observability.\n\nFamiliarity with cloud networking, security, and cost optimization best practices.\n\nSecurity/compliance in regulated environments; privacy engineering and data governance","description_format":"text","description_chars":2549,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Agents"],"lifecycle":[{"event":"open","at":"2026-09-25T14:31:40Z"}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.3,"p_room":0.28,"age_days":100,"expected_fill_days":40,"reasons":["conf:2","stale_co","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-09-27T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/lyzr-lead-core-engineer-architect","json_url":"https://alion.io/job/lyzr-lead-core-engineer-architect.json","meta":{"generated_at":"2026-09-28T04:08:36Z","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":2475,"day_limit":5000,"remaining_today":2525,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}