{"id":519374,"url":"https://alion.io/job/synopsys-ai-sr-architect","title":"AI, Sr Architect","company":{"id":39954,"name":"Synopsys","domain":"synopsys.com","url":"https://alion.io/company/synopsys-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":77,"ghost_share":0.039,"stale_share":0,"repost_share":0.169,"time_to_fill_p50_days":15,"computed_at":"2026-10-25T05:49:26Z"}},"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":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Google ADK","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"RAG","optional":false},{"name":"Agile","optional":true},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Go","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangGraph","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true},{"name":"Scrum","optional":true},{"name":"Semantic Kernel","optional":true}],"status":"live","first_seen_at":"2026-09-07T22:53:51Z","employer_posted_date":"2026-09-07","last_verified_at":"2026-10-26T01:53:57Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Job Description and Requirements\nWe Are:\nAt Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and intelligent software systems. Join us to transform the future through continuous technological innovation.\nAs part of our Generative AI / Agentic AI initiatives, we are building next-generation intelligent applications powered by LLMs, workflows, tools, memory, and autonomous decisioning. Our team is focused on delivering scalable, production-grade AI full-stack solutions that create measurable business impact.\nYou Are:\nYou are a hands-on senior engineering leader with a passion for building production-grade agentic AI systems and AI full-stack applications. You thrive in fast-paced, collaborative environments and enjoy solving complex problems across orchestration, memory, reasoning, backend systems, and user experience. You bring strong technical depth in modern AI application development, combined with the leadership skills to guide teams, mentor engineers, and drive delivery excellence.\nYou are excited by the challenge of developing workflow-driven agentic systems using frameworks such as ADK, NAT, and other agent orchestration frameworks, and you understand how to combine LLMs, tools, memory, retrieval, and guardrails into reliable applications. You balance innovation with engineering rigor and are committed to building secure, scalable, and responsible AI solutions.\nWhat You’ll Be Doing:\nDesign, build, and deploy agentic AI applications and AI full-stack solutions using frameworks such as ADK, NAT, Langchain, CrewAI and similar agent platforms.\nDevelop intelligent workflows for planning, reasoning, task decomposition, tool execution, reflection, and multi-step orchestration.\nImplement and optimize memory architectures, including:Semantic memory\nProcedural memory\nEpisodic memory\nWorking/session memory\nLong-term memory consolidation and retrieval patterns\n\nConduct LLM evaluations for agentic applications, factoring in cost and performance considerations to optimize solutions.\nBuild integrations with enterprise tools, APIs, knowledge bases, databases, search systems, and external services using tool calling, function calling, and MCP/equivalent connector patterns where applicable.\nDevelop backend services, orchestration layers, APIs, and supporting full-stack components for AI applications, including human-in-the-loop experiences and operational dashboards.\nImplement RAG pipelines, vector search, knowledge retrieval, prompt orchestration, and contextual grounding for agents.\nDesign robust agent state management, persistence, retry, fallback, and recovery mechanisms for workflow-driven systems.\nEstablish evaluation frameworks for agent quality, memory relevance, tool-use success, trajectory quality, hallucination reduction, latency, cost, and safety.\nBuild observability and monitoring for agentic systems, including tracing, logging, prompt/version tracking, workflow telemetry, and incident analysis.\nApply guardrails, policy controls, validation layers, and secure design practices to ensure safe and responsible AI behavior.\nMentor engineers, drive design reviews, establish best practices, and contribute to engineering standards for agentic application development.\nCollaborate with product managers, designers, researchers, platform teams, and business stakeholders to translate requirements into scalable AI solutions.\nThe Impact You Will Have:\nAccelerate Synopsys’ adoption of agentic AI through scalable, workflow-driven applications.\nEnable delivery of robust AI systems that combine LLMs, tools, memory, and orchestration to solve high-value business problems.\nImprove engineering productivity and business efficiency through reusable agentic patterns, platform components, and best practices.\nRaise the technical maturity of the team through mentorship, code quality, architecture guidance, and knowledge sharing.\nHelp establish Synopsys as a leader in responsible, enterprise-grade AI application development.\nWhat You’ll Need:\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, AI/ML, or related field. PhD is a plus.\nMinimum 15+ years of software engineering experience, including strong hands-on experience building and shipping production systems.\nProven experience delivering AI/ML, GenAI, or agentic AI applications in production environments.\nStrong proficiency in Python and at least one of JavaScript, Java, C++, or Go.\nExperience with ADK, NAT, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar agentic development frameworks.\nStrong understanding of:LLM application design\nWorkflow orchestration\nPrompt engineering\nTool/function calling\nRAG architectures\nMemory systems for agents\nMulti-agent collaboration patterns\n\nExperience with vector databases, search systems, embeddings, and knowledge retrieval pipelines.\nExperience building AI full-stack applications, including backend APIs/microservices and frontend or user-facing AI experiences.\nFamiliarity with cloud platforms such as AWS, GCP, or Azure, and container/orchestration technologies such as Docker and Kubernetes.\nExperience with CI/CD, Git-based development, testing, and Agile/Scrum practices.\nStrong understanding of observability, evaluation, guardrails, security, privacy, and responsible AI practices.\nExperience in semiconductor, EDA, developer productivity, or enterprise software domains is a plus.\nWho You Are:\nA strong systems thinker and pragmatic problem solver.\nA hands-on technical leader who can move between architecture and implementation.\nAn effective communicator who can explain complex AI concepts to diverse audiences.\nA collaborative team player who values inclusion, curiosity, and continuous learning.\nA mentor who raises the bar for engineering quality and technical excellence.\nEthical, detail-oriented, and committed to responsible AI deployment.\nAt Synopsys, we want talented people of every background to feel valued and supported to do their best work. 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