{"id":3693586,"url":"https://alion.io/job/tech-mahindra-agentic-ai-architect","title":"Agentic AI Architect","company":{"id":5484,"name":"Tech Mahindra","domain":"techmahindra.com","url":"https://alion.io/company/tech-mahindra","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","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":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AgentOps","optional":false},{"name":"AI Agents","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":"Copilot Studio","optional":false},{"name":"CrewAI","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","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 Fabric","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"Platform Engineering","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":"Semantic Search","optional":false},{"name":"ServiceNow","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Vertex AI","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:22:46Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T03:53:11Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\n\nSkill Set :\nAgentic AI Development\n\nTotal Experience :\n12.00 to 15.00 Years\n\nNo of Openings :\n1\n\nJob Post Date :\n13/10/2026\n\nJob Expiry Date :\n30/12/2026\n\nDomain :\nIT\n\nLocation :\nATLANTA [United States]\n\nJob Reference No :\n4112639\n\nJob Summary\nAgentic AI Architect\nLocation Onsite - Atlanta, Georgia\nJob Summary\nWe are seeking an experienced Agentic AI Architect to design, architect, and lead the implementation of enterprise-scale AI solutions powered by Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), knowledge graphs, and AI orchestration platforms. The ideal candidate will define end-to-end architectures for autonomous and semi-autonomous AI systems, establish security and governance guardrails, and drive adoption of next-generation AI capabilities across business functions. This role requires strong expertise in multi-agent orchestration, AI platform engineering, cloud-native architecture, enterprise integration, and hands-on technical leadership.\nKey Responsibilities\nAI and Agentic Architecture\nDefine enterprise Agentic AI strategy, target-state architecture, reusable patterns, and reference architectures.\nDesign multi-agent ecosystems using frameworks such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and\nMicrosoft Copilot Studio.\nArchitect supervisor, planner, executor, evaluator, and human-in-the-loop agent patterns.\nDefine approaches for reasoning, planning, task decomposition, memory management, tool use, context handling,\nand agent collaboration.\nBalance autonomy with deterministic controls, approval checkpoints, fallback mechanisms, and operational safety.\nGenAI and RAG Solutions\nDesign scalable RAG architectures using enterprise knowledge repositories, semantic search, embeddings, vector\ndatabases, and knowledge graphs.\nCreate enterprise copilots, AI assistants, and digital workforce solutions grounded in approved organizational data.\nDefine document ingestion, chunking, metadata, retrieval, reranking, citation, and response-generation patterns.\nEstablish evaluation methods for groundedness, hallucination, relevance, safety, quality, latency, and cost.\nEnterprise Integration\nIntegrate AI agents with enterprise platforms such as SAP, ServiceNow, Salesforce, Microsoft 365, databases,\nAPIs, messaging platforms, and workflow engines.\nDesign secure API, event-driven, microservices, and tool-calling patterns for agent interactions.\nDefine identity, authorization, secrets management, data-access controls, and audit requirements for agent actions.\nCreate reusable integration contracts and Model Context Protocol (MCP) patterns where appropriate.\nGovernance and Responsible AI\nImplement AI governance, safety guardrails, risk controls, and compliance checkpoints across the solution lifecycle.\nJOB DESCRIPTION | AGENTIC AI ARCHITECT\nDefine human-in-the-loop and human-on-the-loop workflows for sensitive, high-impact, or irreversible actions.Establish model and agent monitoring, traceability, explainability, auditability, data privacy, bias assessment, and content-safety controls. Partner with security, legal, compliance, data governance, and risk teams to operationalize responsible AI standards.\nCloud and Platform Engineering\nArchitect solutions using Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AWS Bedrock, Google Vertex AI, IBM\nwatsonx, or equivalent enterprise AI platforms.\nLead MLOps, LLMOps, and AgentOps architecture, including CI/CD, testing, release controls, observability,\nrollback, and incident response.\nDefine scalable deployment patterns using containers, Kubernetes, serverless services, API gateways, and platform\nengineering practices.\nOptimize model selection, token consumption, caching, routing, latency, reliability, and infrastructure cost.\nTechnical Leadership and Stakeholder Engagement\nLead architecture reviews, design assurance, technology selection, prototyping, and production-readiness\nassessments.\nTranslate business challenges into secure, scalable, and measurable Agentic AI solution designs.\nMentor AI engineers, data scientists, platform engineers, and solution architects.\nDevelop reusable frameworks, accelerators, templates, architecture decision records, and implementation\nstandards.\nCommunicate architecture, risks, trade-offs, roadmap, and business value to engineering teams and senior\nstakeholders.\nRequired Core Technical Skills\nStrong hands-on experience with Python, FastAPI, REST APIs, asynchronous processing, and distributed systems.\nDeep understanding of LLMs, prompt engineering, structured outputs, function/tool calling, embeddings, and model\nrouting.\nExperience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or equivalent\ntechnologies.\nExpertise in RAG, vector databases, enterprise search, semantic retrieval, reranking, and knowledge graph\nintegration.\nExperience with Azure, AWS, or GCP AI services and production-grade cloud architecture.\nWorking knowledge of Docker, Kubernetes, CI/CD, DevSecOps, observability, and secrets management.\nUnderstanding of MCP, agent interoperability, context management, and secure tool integration.\nAI Architecture Competencies\nMulti-agent orchestration and agent design patterns\nReasoning, planning, memory, reflection, and evaluation strategies\nLLM and agent evaluation frameworks\nResponsible AI, security, privacy, and governance\nFine-tuning and model adaptation approaches\nMLOps, LLMOps, and AgentOps operating models\nEnterprise integration and API architecture\nQualifications\nBachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related\ntechnical discipline.\n12+ years of overall IT experience, including substantial experience in enterprise architecture or solution\narchitecture.\n5+ years of experience in AI/ML, Generative AI, or advanced analytics architecture roles.\nDemonstrated experience delivering enterprise-scale, production-grade AI platforms or applications.\nProven ability to lead cross-functional technical teams and engage business, security, risk, and executive\nstakeholders.\nPreferred Certifications\nMicrosoft Certified: Azure AI Engineer Associate\nMicrosoft Applied Skills credentials for Azure OpenAI or Azure AI solutions\nAWS Certified Machine Learning - Specialty or relevant AWS AI certification\nGoogle Cloud Professional Machine Learning Engineer\nDatabricks Generative AI Engineer or equivalent\nTOGAF or another recognized enterprise architecture certification\nSuccess Measures\nBusiness value delivered through AI-enabled automation and decision support.\nAgent task-completion quality, groundedness, safety, reliability, and user adoption.\nReusable architecture patterns and reduced time to production for AI use cases.\nEffective control of LLM consumption, platform cost, latency, and operational risk.\nCompliance with security, privacy, governance, audit, and responsible AI requirements.\nQuality of technical leadership, architecture governance, and engineering enablement.\nThe pay range for this role is $130k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.\n Thanks & Regards\n\nTech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at .”","description_format":"text","description_chars":8195,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Information Technology","Professional Services","Systems Integrators","Business Process Outsourcing (BPO)"],"lifecycle":[{"event":"open","at":"2026-11-03T17:22:46Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 768 · green card filings: 5","filings_12m":768,"filings_prev_12m":1320,"green_card_filings_12m":5,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":199}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":9,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":150000,"is_top_pay":false},"html_url":"https://alion.io/job/tech-mahindra-agentic-ai-architect","json_url":"https://alion.io/job/tech-mahindra-agentic-ai-architect.json","meta":{"generated_at":"2026-11-05T08:41:51Z","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":11056,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":5484},"rest":"https://alion.io/mcp/rest/get_company?id=5484"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftech-mahindra-agentic-ai-architect"},{"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%2Ftech-mahindra-agentic-ai-architect"},{"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%2Ftech-mahindra-agentic-ai-architect"},{"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/tech-mahindra-agentic-ai-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftech-mahindra-agentic-ai-architect"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3693586}},{"tool":"search_jobs","arguments":{"company":"techmahindra.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3693586},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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