{"id":2981059,"url":"https://alion.io/job/coforge-technical-architect","title":"TECHNICAL ARCHITECT","company":{"id":710119,"name":"Coforge","domain":"coforge.com","url":"https://alion.io/company/coforge-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":79,"open_postings":42,"ghost_share":0,"stale_share":0.857,"repost_share":0,"time_to_fill_p50_days":42,"computed_at":"2026-10-24T06:02:35Z"}},"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":["Fort Mill, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1432},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"n8n","optional":false},{"name":"Power Automate","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Zapier","optional":false}],"status":"live","first_seen_at":"2026-07-23T15:44:06Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T02:40:21Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":92},"description":"Job Description: Senior AI Automation Engineer\n\nPosition Summary\nWe are seeking a highly skilled AI Automation Engineer to accelerate AI adoption and automation initiatives across multiple technology and business teams. The role will focus on designing, developing, and deploying AI-powered workflows, agentic automation frameworks, API integrations, and reusable accelerators that improve operational efficiency, reduce manual effort, and enable faster delivery across the enterprise.\n\nKey Responsibilities\nDesign and implement AI-driven automation solutions to improve engineering and operational processes.\nDevelop AI workflows, agent orchestration frameworks, and automation pipelines using modern AI platforms.\nIntegrate LLMs, enterprise tools, and applications through APIs and workflow orchestration platforms.\nBuild Proof of Concepts (POCs), pilots, and reusable AI accelerators for enterprise adoption.\nCreate intelligent remediation and automation solutions to reduce manual effort across development and infrastructure teams.\nDevelop AI agents capable of performing multi-step tasks, decision-making, and workflow execution.\nCollaborate with product, engineering, infrastructure, security, and operations teams to identify automation opportunities.\nEstablish best practices, governance, and reusable patterns for AI implementation.\nSupport enterprise modernization initiatives through AI-enabled process transformation.\nMeasure and report productivity gains, efficiency improvements, and business outcomes.\nRequired Skills\nStrong experience in Python development.\nHands-on experience with Generative AI, LLMs, and AI Agent frameworks.\nExperience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks.\nStrong understanding of prompt engineering, RAG, vector databases, and AI workflow design.\nExperience integrating enterprise applications using REST APIs and SDKs.\nKnowledge of API integration, authentication, token management, and workflow orchestration.\nExperience with automation platforms such as Power Automate, Zapier, n8n, or similar.\nFamiliarity with cloud platforms (Azure, AWS, or GCP).\nExperience with Git, CI/CD pipelines, and software development best practices.\nStrong problem-solving and stakeholder communication skills.\nPreferred Qualifications\nExperience building enterprise AI agents and copilots.\nKnowledge of development, infrastructure, security, or vulnerability remediation processes.\nExperience implementing AI solutions for productivity improvement and process automation.\nUnderstanding of enterprise architecture and system integration patterns.\nExposure to MLOps, observability, and AI governance frameworks.\nExpected Outcomes\nAccelerate AI adoption across multiple technology organizations.\nDeliver reusable AI frameworks and automation accelerators.\nReduce manual engineering effort through intelligent automation.\nEnable faster experimentation, innovation, and enterprise transformation.\nDrive measurable productivity and efficiency gains across teams.\nExperience\n8+ years of software engineering experience.\n3+ years of hands-on experience in AI/ML, Generative AI, or intelligent automation 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