{"id":96982,"url":"https://alion.io/job/fractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering","title":"Lead Architect – Full-Stack, Cloud, Data & AI Engineering","company":{"id":226,"name":"Fractal","domain":"fractal.ai","url":"https://alion.io/company/fractal-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":43,"ghost_share":0,"stale_share":0.953,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","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":["Mumbai, India","Bengaluru, India","Chennai, India","Pune, India","Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AIOps","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-23T00:00:00Z","employer_posted_date":"2026-08-23","last_verified_at":"2026-10-17T02:41:48Z","board_verified":true,"closed_at":null,"days_open":56,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":56},"description":"It's fun to work in a company where people truly BELIEVE in what they are doing!\nWe're committed to bringing passion and customer focus to the business.\nLead Architect - Full-Stack, Cloud, Data & AI Engineering\nTechnical leadership of the end-to-end build, with accountability for establishing the team's deployment capability and mentoring Forward Deployed Engineers to independence\nRole Overview\nThe Lead Architect sets and owns the technical direction for enterprise agentic AI solutions across application, cloud, data and AI layers - and delivers it through the team rather than personally. The primary mandate is to raise engineering capability: establish standards and reusable deployment assets, guide design and review work, and mentor Forward Deployed Engineers until they can build, deploy and operate solutions in client environments without escalation. Hands-on work is expected selectively - to stay technically credible and unblock the team - not as sustained feature delivery.\nCapability Coverage\nFull-stack engineering\nWhat the role is accountable for - Standards and patterns for Python services, JavaScript/TypeScript front ends, SQL and NoSQL data design, APIs, CI/CD and DevOps\nMode of working - Guide, review, spike\nAzure cloud architecture\nWhat the role is accountable for - Target-state architecture, service selection, identity, networking, environments, non-functional targets and cloud cost discipline\nMode of working - Own and decide\nData engineering\nWhat the role is accountable for - PySpark and Databricks pipeline architecture, layered data design, quality controls and performance standards\nMode of working - Direct and review\nAI engineering & AIOps\nWhat the role is accountable for - Agent and orchestration design, evaluation harnesses, guardrails, human-approval flows, tracing, versioning and drift monitoring\nMode of working - Own and direct\nLeadership Responsibilities\nTechnical direction: Own the target architecture and the agentic-versus-deterministic decisions; hold the line on where agents add value and where rules or workflows suffice.\nLead through the team: Break scope into buildable increments, run design walkthroughs and code reviews, and set the coding, testing, release and documentation standards the team works to.\nBuild deployment capability: Convert today's person-dependent deployment into documented, reusable practice - reference architecture, IaC modules, pipeline templates, runbooks and environment checklists.\nMentor FDEs to independence: Pair on builds, review their designs, run structured enablement, and hand over deployment ownership against defined competency milestones.\nStakeholder ownership: Carry architecture and security posture through client technology and security review; act as final technical escalation on deployment and production issues.\nSelective hands-on: Prototype high-risk components, resolve critical-path blockers, and review production code - sufficient depth to make credible decisions, without becoming the delivery bottleneck.\nRequired Experience\n10+ years in software, platform or applied AI engineering, including 4+ years leading engineering teams on systems that reached production.\nFull-stack delivery background - Python, relational and NoSQL stores, web application deployment, CI/CD and DevOps practice.\nHands-on architecture experience with the standing to own and defend decisions with client cloud and security teams.\nWorking depth in PySpark and Databricks, and in agent development with a mainstream orchestration framework plus evaluation and production monitoring.\nDemonstrated record of mentoring engineers and raising team capability - not only shipping personally.\nSuccess Measures\nNamed FDEs deploy and operate solutions independently; delivery is not dependent on this individual.\nTime-to-deploy reduces engagement over engagement through reusable assets and standards.\nSolutions reach production on committed timelines, with architecture and security accepted with minimal remediation.\nAgent quality, availability, latency and cloud cost tracked against defined baselines, with regressions caught pre-release.\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nNot the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!","description_format":"text","description_chars":4484,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":4,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-08-23T00:00:00Z"}],"visa":[],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.438,"p_room":0.36,"age_days":55,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/fractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering","json_url":"https://alion.io/job/fractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering.json","meta":{"generated_at":"2026-10-18T10:31:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":15592,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":226},"rest":"https://alion.io/mcp/rest/get_company?id=226"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ffractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ffractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/fractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffractal-analytics-lead-architect-full-stack-cloud-data-ai-engineering"}]}