{"id":103693,"url":"https://alion.io/job/fractal-analytics-lead-architect","title":"Lead Architect","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":77,"open_postings":38,"ghost_share":0,"stale_share":0.921,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-09-26T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","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","Pune, India","Mumbai, India","Gurgaon, India","Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":74000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":475},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"BentoML","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Feast","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Langfuse","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Evals","optional":false},{"name":"Outlines","optional":false},{"name":"PEFT","optional":false},{"name":"Prefect","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ragas","optional":false},{"name":"Ray","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Transformers","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-07-28","last_verified_at":"2026-09-25T23:53:48Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"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.\nRole overview:\nWe’re building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills - ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability.\nRequired Qualifications:\n10 - 14 years of experience in working on ML projects that includes product building mindset, strong hands on skills, technical leadership, leading development teams\nModel development, training, deployment at scale, monitoring performance for production use cases\nStrong knowledge on Python, Data Engineering, FastAPI, NLP\nKnowledge on Langchain, Llamaindex, Langtrace, Langfuse, LLM evaluation, MLFlow, BentoML\nShould have worked on proprietary and open-source LLMs\nExperience on LLM fine tuning including PEFT/CPT\nExperience in creating Agentic AI workflows using frameworks like CrewAI, Langraph, AutoGen, Symantec Kernel\nExperience in performance optimization, RAG, guardrails, AI governance, prompt engineering, evaluation, and observability\nExperience in GenAI application deployment on cloud and on-premises at scale for production using DevOps practices\nExperience in DevOps and MLOps\nGood working knowledge on Kubernetes and Terraform\nExperience in minimum one cloud: AWS / GCP / Azure to deploy AI services\nTeam player with excellent communication and presentation skills\nMust have skills:\nProduct thinking that includes ideation, prototyping, and scale internal accelerators for LLMOps\nArchitect and build scalable LLMOps platforms for enterprise-grade GenAI systems\nDesign and manage end-to-end LLM pipelines from data ingestion and embedding to evaluation and inference\nDrive LLM-specific infrastructure: memory management, token control, prompt chaining, and context optimization\nLead scalable deployment frameworks for LLMs using Kubernetes and GPU-aware scaling\nBuild agentic AI operations capabilities including agent evaluation, observability, orchestration and reflection loops\nGuardrails & Observability: Implement output filtering, context-aware routing, evaluation harnesses, metrics logging, and incident response\nPlatform Automation for LLMOps: Drive end-to-end automation with Docker, Kubernetes, GitOps, DevOps, Terraform, etc.\nProduct Thinking: Ideate, prototype, and scale internal accelerators and reusable components for LLMOps\nGenAI Engineering: Productionize LLM-powered applications with modular, reusable, and secure patterns\nPipeline Architecture: Create evaluation pipelines - including prompt orchestration, feedback loops, and fine-tuning workflows\nPrompt & Model Management: Design systems for versioning, AI governance, automated testing, and prompt quality scoring\nScalable Deployment: Architect cloud-native and hybrid deployment strategies for large-scale inference\nGuardrails & Observability: Implement output filtering, context-aware routing, evaluation harnesses, metrics logging, and incident response\nDevOps & Platform Automation: Drive end-to-end automation with Docker, Kubernetes, GitOps, Terraform, etc.\nMust-Have Technical Skills\nLLMOps frameworks: LangChain, MLflow, BentoML, Ray, Truss, FastAPI\nPrompt evaluation and scoring systems: OpenAI evals, Ragas, Rebuff, Outlines\nCloud-native deployment: Kubernetes, Helm, Terraform, Docker, GitOps\nML pipeline: Airflow, Prefect, Feast, Feature Store\nData stack: Spark/Flink, Parquet/Delta, Lakehouse patterns\nCloud: Azure ML, GCP Vertex AI, AWS Bedrock/SageMaker\n Languages: Python (must), Bash, YAML, Terraform HCL (preferred)\nIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!\nHiring Related Queries\nIndia: \nOutside India: \nThis inbox does not process resume submissions. All applications must be made through posted job openings\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":4414,"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":["Machine Learning","Decision Intelligence","AI Consulting & Integration","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-09T17:48:44Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.458,"p_room":0.28,"age_days":60,"expected_fill_days":24,"reasons":["conf:5","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/fractal-analytics-lead-architect","json_url":"https://alion.io/job/fractal-analytics-lead-architect.json","meta":{"generated_at":"2026-09-27T02:06:20Z","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":1857,"day_limit":5000,"remaining_today":3143,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}