{"id":2911070,"url":"https://alion.io/job/tiger-analytics-senior-aiml-engineer-agentic-ai-engineer","title":"Senior AIML Engineer-Agentic AI Engineer","company":{"id":3693,"name":"Tiger Analytics","domain":"tigeranalytics.com","url":"https://alion.io/company/tigeranalytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Databricks","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LoRA","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Oracle ERP","optional":true},{"name":"PEFT","optional":true},{"name":"Prompt Caching","optional":true},{"name":"QLoRA","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-08-26T13:53:02Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-27T19:03:01Z","board_verified":true,"closed_at":null,"days_open":62,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":62},"description":"Job Title :Senior AIML Engineer-Agentic AI Engineer\nExperience: 5-8 yrs.\nLocation : Chennai, Hyderabad, Bangalore\nWho we are\nTiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.\nOur team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.\nWe are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.\nCurious about the role? What your typical day would look like?\nWe are seeking a hands-on Senior Agentic AI Engineer to design, build, and operate production-grade Agentic AI, Decision Intelligence, and Retrieval-Augmented Generation solutions on Microsoft Azure for Bechtel’s Digital Supply Chain Systems organization. The role will support diverse and evolving DSCS business requirements by developing reusable, scalable, secure, and explainable enterprise AI capabilities.\nResponsibilities\n\nDesign and build production-grade single-agent and multi-agent systems in Azure AI Foundry capable of orchestrating reasoning, planning, tool usage, and workflow execution.\nArchitect scalable Generative AI solutions leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, and other enterprise AI services.\n\nBuild and govern Retrieval-Augmented Generation (RAG) architectures using structured and unstructured enterprise data sources, including embeddings, vector/hybrid search, chunking, metadata filtering, reranking, grounding, and citations.\n\nDevelop secure, reliable integrations between agents and enterprise systems using Model Context Protocol (MCP), REST APIs, relational databases, and event-driven services.\n\nDesign Natural Language to SQL (NL2SQL) capabilities, ensuring accuracy, explainability, and secure access to enterprise data.\n\nDefine semantic-layer strategies that enable AI agents to understand enterprise data models, business metrics, terminology, and relationships.\n\nArchitect decision intelligence capabilities that combine enterprise data, business context, analytics, and AI reasoning to support informed decision-making.\n\nEstablish reusable frameworks for impact analysis, dependency identification, prioritization, recommendation generation, and decision traceability.\n\nEnsure AI-generated recommendations are explainable, evidence-based, grounded in authoritative enterprise data, and aligned with business objectives.\n\nDefine and automate evaluation methodologies for response quality, reasoning quality, recommendation relevance, business usefulness, and user trust, including golden datasets, LLM-based evaluation, and regression evals wired into CI/CD.\n\nImplement guardrails and Responsible AI controls: input/output content safety, PII protection, grounding checks, authorization boundaries, and human-in-the-loop escalation paths.\n\nEstablish governance, security, safety, transparency, and compliance standards for enterprise AI solutions.\n\nImplementation of observability and monitoring frameworks for AI applications, including quality, performance, reliability, and adoption metrics, plus traces, tool calls, latency, token usage, and cost.\n\nOptimize solutions for cost and latency through model selection, prompt and context engineering, caching, and workload right-sizing.\n\nDrive architectural decisions for scalable, cloud-native AI platforms using modern software engineering, DevOps, and MLOps/LLMOps practices.\n\nDefine technical standards, reference architecture, and reusable frameworks for AI agents, reasoning systems, and decision-support applications.\n\nMentor engineers and provide technical framework on Agentic AI, decision intelligence, software architecture, and enterprise AI best practices.\n\nPartner with business stakeholders and domain experts to transform complex business requirements into reusable AI capabilities.\n\nCollaborate with data engineering teams to develop AI-ready data products, semantic models, metadata frameworks, and enterprise knowledge layers.\nStay current with emerging AI technologies, frameworks, and industry practices, evaluating their applicability within DSCS and enterprise environments.\nWhat do we expect?\n\nBachelor's degree in Computer Science or a related field (Master's preferred) and 8+ years of relevant software engineering experience.\n\n3+ years of hands-on experience developing Generative AI, machine learning, intelligent automation, or LLM-based applications, including substantial recent experience with Agentic AI.\n\nStrong programming proficiency in Python; working knowledge of TypeScript/Node.js or a comparable language for application services.\n\nStrong software engineering background with experience designing and deploying production-grade cloud applications.\n\nHands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations.\n\nExperience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable frameworks, including single-agent and multi-agent systems, tool calling, MCP-based tool integration, and human-in-the-loop controls.\n\nExperience building natural language to SQL or conversational analytics solutions, including schema and metadata modeling, query generation, query validation, and grounding answers in retrieved data.\n\nExperience designing or contributing to decision intelligence systems that combine AI, analytics, business context, and operational workflows to improve decision quality and business outcomes.\n\nExperience evaluating and improving agent quality through prompt engineering, test datasets, LLM-based evaluation, safety checks, reasoning-quality assessment, and production feedback loops.\n\nStrong knowledge of LLMOps, CI/CD, Docker and Kubernetes, observability, and production operations for AI applications.\n\nWorking knowledge of core Azure platform services: AKS or Azure Container Apps, Azure Functions, API Management, Entra ID, Key Vault, and Azure SQL or Cosmos DB.\n\nGood understanding of RESTful APIs, asynchronous patterns, secure integrations, relational databases, SQL, SQL/NoSQL data stores, and data engineering or ETL pipelines.\n\nExperience with enterprise-scale secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring.\n\nStrong analytical, problem-solving, collaboration, and communication skills.\nPreferred / Nice-to-Have\n\nExperience with Microsoft Fabric, Azure Databricks, or Azure Data Factory for AI-ready data pipelines.\n\nExposure to Copilot Studio, Power Platform, or Teams-based agent experiences.\n\nExperience with model fine-tuning (e.g., LoRA/QLoRA), prompt caching, and token/cost optimization at scale.\n\nSupply chain domain knowledge (procurement, expediting, logistics, materials management) or familiarity with ERP data such as Oracle EBS or SAP.\n\nFront-end experience with React and TypeScript for building agent-facing user interfaces.\n\nMicrosoft certifications such as Azure AI Engineer Associate (AI-102/AI-103) or Azure Solutions Architect (AZ-305).\nYou are important to us, let’s stay connected!\nEvery individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.\nNote: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.","description_format":"text","description_chars":8443,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"},{"name":"United Kingdom","iso":"GB","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"},{"name":"Singapore","iso":"SG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["MLOps","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-20T09:37:49Z"}],"visa":[],"liveness":{"score":64,"band":"ok","label":"Likely open","p_open":1,"p_active":0.891,"p_room":0.72,"age_days":61,"expected_fill_days":108,"reasons":["conf:0","velocity","win:mid","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/tiger-analytics-senior-aiml-engineer-agentic-ai-engineer","json_url":"https://alion.io/job/tiger-analytics-senior-aiml-engineer-agentic-ai-engineer.json","meta":{"generated_at":"2026-10-27T20:01:21Z","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":10915,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":3693},"rest":"https://alion.io/mcp/rest/get_company?id=3693"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftiger-analytics-senior-aiml-engineer-agentic-ai-engineer"},{"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%2Ftiger-analytics-senior-aiml-engineer-agentic-ai-engineer"},{"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%2Ftiger-analytics-senior-aiml-engineer-agentic-ai-engineer"},{"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/tiger-analytics-senior-aiml-engineer-agentic-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftiger-analytics-senior-aiml-engineer-agentic-ai-engineer"}]}