{"id":3647769,"url":"https://alion.io/job/thoughtspot-lead-ai-application-engineer-business-technology-2","title":"Lead AI Application Engineer- Business Technology","company":{"id":58853,"name":"ThoughtSpot","domain":"thoughtspot.com","url":"https://alion.io/company/thoughtspot","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"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":["Thiruvananthapuram, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Go","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Node JS","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-02T21:34:28Z","employer_posted_date":null,"last_verified_at":"2026-11-02T21:34:28Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"ThoughtSpot is a Data & AI platform that helps companies turn data into enterprise advantage. We're Gartner MQ leaders with more than 1,000 customers globally and offices in Mountain View, Chicago, London, Bangalore, Sydney, and Tokyo.\n\nAbout the Role:\n\nWe're building an in-house engineering team to replace major enterprise SaaS platforms with custom internal tools, designed and delivered with AI-augmented development. We're looking for an architect-level Lead Engineer to own this initiative. You'll lead a lean, AI-augmented team, define the technical blueprints, host and scale applications from scratch, and grow new college graduates into productive engineers. This is greenfield, end-to-end ownership with direct business impact: every tool you ship replaces a vendor we no longer need to pay.\n\nWhat You'll Do:\nArchitect and design: Design scalable backend services, data models, and integrations for internal tools that replace complex SaaS platforms. Set and enforce architectural standards across the team.\nUnderstand the business: Work directly with stakeholders to turn ambiguous requirements into clear technical designs, and make pragmatic build-vs-buy and scope trade-offs.\nHost and scale from scratch: Own the full lifecycle of internal applications: provisioning infrastructure, deploying, scaling, monitoring, and operating them in production.\nOwn CI/CD: Build and maintain end-to-end pipelines with automated testing, code scanning, and branch-protection guardrails, making them the definitive quality gate for all code, including AI-generated code.\nBuild with AI: Use tools like Claude Code and Cursor to accelerate delivery, and establish team practices for reviewing, refactoring, and hardening AI-generated code.\nCollaborate across teams: Partner with Sales, Pre-Sales, Project Management, and other internal teams to prioritize work, gather feedback, and iterate quickly.\nMentor: Guide new graduates and junior engineers on architectural first principles, code quality, security, and effective AI-assisted development.\n\nWhat You Bring:\n7+ years building production-grade, full-stack applications (e.g., Python, Node.js, Go, React, relational and vector databases).\nStrong backend architecture and system design skills, with a proven ability to design distributed systems and to critically evaluate, refactor, and modularize sub-optimal code, including LLM-generated code.\nCore knowledge of Kubernetes, Docker, cloud platforms (AWS/GCP), and distributed systems, with experience running multi-service containerized environments in production.\nDemonstrated experience hosting and scaling internal applications from scratch, including building CI/CD pipelines end to end (GitHub Actions, GitLab CI, or Jenkins).\nHands-on experience with AI development tools and agentic coding workflows, and a record of using them to ship real products.\nWorking knowledge of secure SDLC practices: automated static/dynamic code 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