{"id":2929458,"url":"https://alion.io/job/hcltech-technical-architect-54","title":"Technical Architect","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Backend","role_family":"Backend","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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":155000,"max_usd":288000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1432},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"Explainable AI","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"GraphRAG","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LIME","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SHAP","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-20T14:17:11Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-20T23:46:24Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nResponsibilities\nArchitect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks\nBuild RAG pipelines, vector DB integrations & autonomous workflow orchestration\nDesign and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps\nGovern full SDLC for Data, ML, and GenAI platforms\nImplement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)\nArchitect and deploy solutions across Azure, GCP, AWS\nDrive RFP/RFI solutioning, technical proposals, estimations & client workshops\nEnsure strong security, compliance, governance (GDPR, CCPA, PII)\nProduce robust architecture blueprints, ML design docs, and runbooks\nEngage with customer IT and business leaders to understand pain points, priorities, success measures, and risks. \nDesign secure, scalable data and AI solutions to deliver measurable business value.\nLead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs. \nAccelerate adoption and ensure long-term technical viability.\nMaintain deep understanding of evolving AI capabilities, competitive insights, and market trends.\nDemonstrate a growth mindset by continuously aligning your skills to team and customer needs,\nContribute to technical communities and mentor others to accelerate customer outcomes.\n\nSkill & Experience\n15+ years in Data/AI/ML Engineering or 15+ years with Master’s\nDeep experience in Azure Data & AI stack + working knowledge of GCP & AWS\nHands-on with:ML projects (supervised/unsupervised, forecasting, NLP, deep learning)\nML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn\nLangChain, LangGraph, Agentic AI systems\nLLMs, embeddings, vector databases, RAG/GraphRAG\nCI/CD, MLOps/LLMOps, SDLC\nExplainable AI (XAI)\n\nStrong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI\nProven experience contributing to RFP/RFI responses and client solutioning\nKey Responsibilities\nResponsibilities\nArchitect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks\nBuild RAG pipelines, vector DB integrations & autonomous workflow orchestration\nDesign and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps\nGovern full SDLC for Data, ML, and GenAI platforms\nImplement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)\nArchitect and deploy solutions across Azure, GCP, AWS\nDrive RFP/RFI solutioning, technical proposals, estimations & client workshops\nEnsure strong security, compliance, governance (GDPR, CCPA, PII)\nProduce robust architecture blueprints, ML design docs, and runbooks\nEngage with customer IT and business leaders to understand pain points, priorities, success measures, and risks. \nDesign secure, scalable data and AI solutions to deliver measurable business value.\nLead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs. \nAccelerate adoption and ensure long-term technical viability.\nMaintain deep understanding of evolving AI capabilities, competitive insights, and market trends.\nDemonstrate a growth mindset by continuously aligning your skills to team and customer needs,\nContribute to technical communities and mentor others to accelerate customer outcomes.\n\nSkill & Experience\n15+ years in Data/AI/ML Engineering or 15+ years with Master’s\nDeep experience in Azure Data & AI stack + working knowledge of GCP & AWS\nHands-on with:ML projects (supervised/unsupervised, forecasting, NLP, deep learning)\nML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn\nLangChain, LangGraph, Agentic AI systems\nLLMs, embeddings, vector databases, RAG/GraphRAG\nCI/CD, MLOps/LLMOps, SDLC\nExplainable AI (XAI)\n\nStrong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI\nProven experience contributing to RFP/RFI responses and client solutioning\nSkill Requirements\nResponsibilities\nArchitect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks\nBuild RAG pipelines, vector DB integrations & autonomous workflow orchestration\nDesign and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps\nGovern full SDLC for Data, ML, and GenAI platforms\nImplement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)\nArchitect and deploy solutions across Azure, GCP, AWS\nDrive RFP/RFI solutioning, technical proposals, estimations & client workshops\nEnsure strong security, compliance, governance (GDPR, CCPA, PII)\nProduce robust architecture blueprints, ML design docs, and runbooks\nEngage with customer IT and business leaders to understand pain points, priorities, success measures, and risks. \nDesign secure, scalable data and AI solutions to deliver measurable business value.\nLead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs. \nAccelerate adoption and ensure long-term technical viability.\nMaintain deep understanding of evolving AI capabilities, competitive insights, and market trends.\nDemonstrate a growth mindset by continuously aligning your skills to team and customer needs,\nContribute to technical communities and mentor others to accelerate customer outcomes.\n\nSkill & Experience\n15+ years in Data/AI/ML Engineering or 15+ years with Master’s\nDeep experience in Azure Data & AI stack + working knowledge of GCP & AWS\nHands-on with:ML projects (supervised/unsupervised, forecasting, NLP, deep learning)\nML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn\nLangChain, LangGraph, Agentic AI systems\nLLMs, embeddings, vector databases, RAG/GraphRAG\nCI/CD, MLOps/LLMOps, SDLC\nExplainable AI (XAI)\n\nStrong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI\nProven experience contributing to RFP/RFI responses and client solutioning\nOther Requirements\nResponsibilities\nArchitect Agentic AI solutions using Azure OpenAI, LangChain, LangGraph & multi-agent frameworks\nBuild RAG pipelines, vector DB integrations & autonomous workflow orchestration\nDesign and lead ML project lifecycles - data prep, modeling, training, evaluation, deployment & MLOps\nGovern full SDLC for Data, ML, and GenAI platforms\nImplement XAI/Explainable AI (SHAP, LIME, fairness, transparency models)\nArchitect and deploy solutions across Azure, GCP, AWS\nDrive RFP/RFI solutioning, technical proposals, estimations & client workshops\nEnsure strong security, compliance, governance (GDPR, CCPA, PII)\nProduce robust architecture blueprints, ML design docs, and runbooks\nEngage with customer IT and business leaders to understand pain points, priorities, success measures, and risks. \nDesign secure, scalable data and AI solutions to deliver measurable business value.\nLead architecture design sessions, develop data/AI and analytics roadmaps to drive PoCs and MVPs. \nAccelerate adoption and ensure long-term technical viability.\nMaintain deep understanding of evolving AI capabilities, competitive insights, and market trends.\nDemonstrate a growth mindset by continuously aligning your skills to team and customer needs,\nContribute to technical communities and mentor others to accelerate customer outcomes.\n\nSkill & Experience\n15+ years in Data/AI/ML Engineering or 15+ years with Master’s\nDeep experience in Azure Data & AI stack + working knowledge of GCP & AWS\nHands-on with:ML projects (supervised/unsupervised, forecasting, NLP, deep learning)\nML modeling tools: Python, PySpark, Azure ML, Databricks, Scikit-learn\nLangChain, LangGraph, Agentic AI systems\nLLMs, embeddings, vector databases, RAG/GraphRAG\nCI/CD, MLOps/LLMOps, SDLC\nExplainable AI (XAI)\n\nStrong exposure to Synapse, Fabric, Data Factory, Databricks, Power BI\nProven experience contributing to RFP/RFI responses and client solutioning","description_format":"text","description_chars":7758,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Systems Integrators"],"lifecycle":[{"event":"open","at":"2026-10-20T14:17:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":29,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-10-21T04:04:22Z"},"pay":null,"html_url":"https://alion.io/job/hcltech-technical-architect-54","json_url":"https://alion.io/job/hcltech-technical-architect-54.json","meta":{"generated_at":"2026-10-21T04:04:22Z","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":5950,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":225},"rest":"https://alion.io/mcp/rest/get_company?id=225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhcltech-technical-architect-54"},{"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%2Fhcltech-technical-architect-54"},{"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%2Fhcltech-technical-architect-54"},{"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/hcltech-technical-architect-54\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhcltech-technical-architect-54"}]}