{"id":2802448,"url":"https://alion.io/job/mondee-artificial-intelligence-architect-2","title":"Artificial Intelligence Architect","company":{"id":3806432,"name":"Mondee","domain":"mondee.com","url":"https://alion.io/company/mondee","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":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":73000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":7,"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":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","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":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LoRA","optional":true},{"name":"MLFlow","optional":true},{"name":"PEFT","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-08-13T11:24:42Z","employer_posted_date":null,"last_verified_at":"2026-08-13T11:24:42Z","board_verified":false,"closed_at":null,"days_open":65,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":65},"description":"Role : AI Architect\n\nFounder & CEO's Office | Hyderabad (On-site) | Full-time\n\nAbout Tabhi (The Parent Company of Mondee) : \n\nTabhi is a $4B AI-native travel company and the world's largest AI-first travel platform, revolutionizing travel, tourism, and experiential services through three integrated, AI-powered verticals.\n\nThe Tabhi Group of Companies : \n\n23 Companies - 3 AI Platforms - One Vision\n\n- Mondee (B2B) The Agentic AI Travel Marketplace\n\n- Miraee (B2E) The Next-Gen Employee Travel Platform\n\n- Abhee (B2C) The Hyperlocal Experiential Marketplace\n\nOur Scale : \n\n- 65K+ Global Customers\n\n- 500+ Airline Partners\n\n- 2M+ Hotels & Vacation Rentals\n\n- 50M Shopper Searches Per Day\n\n- 125M+ Consumers Access\n\nThe Opportunity : \n\nWe are seeking AI Architect(s) to join the Founder & CEO's Office to design and deliver the next generation of production-grade AI systems across the Tabhi Group.\n\nThis is a hands-on architecture role. The AI Architect is accountable both for the system-level view architecture, scalability, governance, and business impact and for the engineering detail required to complete each build cycle and deliver the product : retrieval design, evaluation, deployment, monitoring, and cost control. Architecture at Tabhi is measured by shipped, operating software.\n\nKey Responsibilities : \n\n- Design and build production-ready agentic AI systems, owning them from architecture through deployment, monitoring, and iteration.\n\n- Define reference architectures, technology selections, and integration patterns for AI systems across the three platforms.\n\n- Architect scalable AI infrastructure and intelligent workflows, including multi-agent orchestration and human-in-the-loop processes.\n\n- Build and maintain RAG pipelines, LLM integrations, and evaluation harnesses in production codebases.\n\n- Establish and enforce standards for responsible AI : guardrails, AI governance, data security, and model evaluation.\n\n- Own production reliability across the stack agent failures, retrieval quality degradation, latency, and cost regressions.\n\n- Collaborate with product and engineering teams to translate complex business problems into working systems.\n\n- Shape the technical direction of AI across the organization, working directly with leadership.\n\nRequired Qualifications : \n\n- Experience : 710 years in software/AI engineering, including 35 years of hands-on experience delivering production machine learning or generative AI systems.\n\n- Programming : strong, current Python with a record of owning production code; solid software-engineering fundamentals including API design and distributed systems.\n\n- Agentic AI and LLMs : hands-on experience with LLM-based and autonomous agent systems, including multi-agent frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.\n\n- RAG and retrieval : production experience designing RAG architectures, embeddings, and vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).\n\n- Prompt and context engineering : demonstrated ability to design prompts, context strategies, and evaluation methods that perform reliably at production scale.\n\n- Cloud AI platforms : deep experience with at least one major cloud AI stack Azure OpenAI, AWS Bedrock/SageMaker, or Google Vertex AI plus familiarity with data platforms such as Databricks or Snowflake.\n\n- MLOps/LLMOps : CI/CD for models and prompts, containerization with Docker/Kubernetes, observability/monitoring, and cost-performance optimization in production.\n\n- Responsible AI : working knowledge of AI governance, guardrails, security, and data-quality standards.\n\n- Communication : demonstrated ability to lead technical design reviews with engineers and present architecture decisions and trade-offs to executive stakeholders.\n\n- Education : Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience; Master's degree preferred.\n\nPreferred Qualifications : \n\n- Experience with agent reasoning patterns such as ReAct, Plan-and-Execute, Reflection, and Tree-of-Thought.\n\n- Model fine-tuning experience (e.g., LoRA/PEFT) and familiarity with knowledge graphs.\n\n- Experience with ML frameworks (PyTorch, TensorFlow) and experiment/model management (MLflow).\n\n- Cloud architecture certification (Azure Solutions Architect Expert, AWS Solutions Architect Professional, or equivalent).\n\n- Experience building consumer- or marketplace-scale systems in travel, e-commerce, or similar high-volume domains.\nSkills\nAI Architecture, Artificial Intelligence, RAG, LLM, Agentic AI, PyTorch, AWS, LangChain, LangGraph","description_format":"text","description_chars":4588,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Travel Agencies","Travel Technology"],"lifecycle":[{"event":"open","at":"2026-10-18T01:22:52Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"green card filings: 2","filings_12m":0,"filings_prev_12m":4,"green_card_filings_12m":2,"median_offered_wage_usd":142500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.503,"p_room":0.28,"age_days":65,"expected_fill_days":30,"reasons":["seen:65","win:tail","crowd:"],"computed_at":"2026-10-18T09:35:47Z"},"pay":null,"html_url":"https://alion.io/job/mondee-artificial-intelligence-architect-2","json_url":"https://alion.io/job/mondee-artificial-intelligence-architect-2.json","meta":{"generated_at":"2026-10-18T09:35:47Z","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":14210,"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":3806432},"rest":"https://alion.io/mcp/rest/get_company?id=3806432"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmondee-artificial-intelligence-architect-2"},{"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%2Fmondee-artificial-intelligence-architect-2"},{"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%2Fmondee-artificial-intelligence-architect-2"},{"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/mondee-artificial-intelligence-architect-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmondee-artificial-intelligence-architect-2"}]}