{"id":1199341,"url":"https://alion.io/job/brillio-architect-r01571180","title":"Architect - R01571180","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":45,"ghost_share":0,"stale_share":0.933,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-13T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":115000,"max_usd":224000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":117},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Anthropic","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":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Go","optional":false},{"name":"Google ADK","optional":false},{"name":"Google Workspace","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Slack","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Vertex AI","optional":false},{"name":"Chroma","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"Pinecone","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-09-18T08:56:54Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-10-13T16:52:59Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"Architect\nPrimary Skills\nAWS Networking, AWS Kenesis, AWS Elastic Cache, AWS PaaS Services, AWS EKS, AWS Cognito, Solution Architecture - AWS, AWS Redshift\nJob requirements\nJob Title: AI / Agentic AI ArchitectRole: Architect - Agentic AI Platforms & Applications\nLocation: NY\n\nWork Type: Remote with occasional travel\nJob SummaryWe are looking for an experienced AI / Agentic AI Architect to design, build, and scale enterprise-grade AI agents, autonomous workflows, and LLM-powered applications. The role combines hands-on AI engineering, solution architecture, cloud-native modernization, and stakeholder advisory to move high-value AI use cases from rapid experimentation to secure, governed, production-ready deployment.\n\nKey ResponsibilitiesDefine agentic AI reference architectures across LLM applications, RAG pipelines, tool/function calling, memory systems, multi-agent orchestration, and enterprise integrations.\nDesign and deploy AI agents and autonomous workflows for business functions such as Finance, Legal, Operations, Sales, Support, and Growth.\nEvaluate foundation models and enterprise AI platforms including Gemini, Vertex AI, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source LLMs.\nIntegrate AI solutions with enterprise platforms such as Google Workspace, Slack, CRM systems, internal APIs, databases, and knowledge repositories.\nImplement observability, evaluation, guardrails, monitoring, reliability controls, and responsible AI practices for production applications.\nRequired Skills & Experience\n8+ years of software engineering, solution architecture, enterprise architecture, or platform engineering experience.\n2+ years of hands-on experience building AI, GenAI, LLM-powered, or agentic applications; production deployment experience preferred.\nStrong understanding of LLMs, RAG, prompt engineering, vector databases, tool/function calling, context management, memory systems, and AI workflow orchestration.\nHands-on experience with frameworks such as LangChain, LangGraph, CrewAI, Google ADK, AutoGen, Semantic Kernel, or similar.\nStrong engineering skills in Python and one or more of Java, Go, Node.js, React, TypeScript, APIs, microservices, SQL/NoSQL, and event-driven systems.\nExperience with Google Cloud, AWS, or Azure, including Docker, Kubernetes, CI/CD, DevSecOps, and cloud-native deployment patterns.\n\nNice to Have Skills\nExperience with AI evaluation frameworks, observability tools, guardrails, and feedback loops.\nKnowledge of fine-tuning, model optimization, open-source LLM deployment, multi-agent coordination, and autonomous decision-making systems.\nExperience with Pinecone, Weaviate, Chroma, Vertex AI Vector Search, Google Workspace APIs, Slack integrations, or enterprise automation tools.\nExposure to AI-driven SDLC tools, cloud certifications, open-source AI contributions, or fast-paced innovation environments.\nImpact & Value\nEnable clients to move from AI experimentation to secure, scalable, production-grade agentic AI solutions.\nAccelerate enterprise automation, developer productivity, operational efficiency, and time-to-market through reusable AI frameworks and modern engineering practices.\n• Drive measurable business value through AI-first platforms aligned to customer success, care, entrepreneurial ownership, and engineering 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