{"id":1965400,"url":"https://alion.io/job/iris-software-gen-ai-fullstack-technical-architect","title":"Gen AI Fullstack - Technical Architect","company":{"id":3800524,"name":"IRIS software","domain":"irissoftware.com","url":"https://alion.io/company/iris-software","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":73000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Azure","optional":false},{"name":"Context Engineering","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Tool Use","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-06T16:00:36Z","employer_posted_date":null,"last_verified_at":"2026-10-06T16:00:36Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Why Join Iris\nAre you ready to do the best work of your career at one ofIndia's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture thattruly values your talent and ambitions\nJoin Iris Software - one of thefastest-growing IT services companies- whereyou own and shape your success story.About Us\nAt Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.\n\nWorking with Us\nAt Iris, every role is more than a job - it's a launchpad for growth.Our Employee Value Proposition, Build Your Future. Own Your Journey.reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best - both personally and professionally.Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it .Job Description\nMandatory Skills:\nAgentic AI Systems, Advanced GenAI & Agentic Framework Concepts, Cloud Application Integration & Deployment, AI Agents & Tool Calling, LangChain, AI Search IndexRole Purpose\nLead the architecture and delivery of enterprise-grade Generative AI and Agentic AI solutions, translating business requirements into scalable, secure, and production-ready AI platforms.\nOwn the technical vision from discovery and PoC through production deployment and optimization.\nKey Responsibilities\nDesign end-to-end GenAI, RAG, Agentic AI and multi-agent architectures.\nDefine solution patterns covering LLMs, embeddings, vector databases, orchestration, APIs, data pipelines and enterprise integrations.\nArchitect AI agents with tool/function calling, workflow orchestration, memory, Human-in-the-Loop and MCP-based integrations.\nEvaluate and select appropriate foundation models, AI platforms and architecture patterns based on quality, latency, security and cost.\nDesign solutions using Azure OpenAI / Azure AI Foundry, Amazon Bedrock / AgentCore, Google Vertex AI or equivalent platforms.\nEstablish LLMOps, evaluation, observability, guardrails and Responsible AI practices.\nDefine scalable cloud-native deployment architectures using APIs, containers, Kubernetes, serverless and asynchronous/event-driven patterns.\nEnsure architecture meets enterprise requirements for security, privacy, resilience, scalability, compliance and cost optimization.\nLead architecture workshops, technical design reviews, PoCs and solution demonstrations.\nCreate reference architectures, technical standards and reusable accelerators for GenAI adoption.\nPartner with business, product, security, data and engineering stakeholders to drive solutions from use case identification to production adoption.\nRequired Skills\nStrong expertise in Generative AI, LLMs, Agentic AI and AI solution architecture.\nHands-on experience with RAG, embeddings, vector search and semantic retrieval.\nExperience with agent frameworks such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, Bedrock Agents/AgentCore or equivalent.\nStrong understanding of multi-agent orchestration, tool calling, context engineering, memory and Human-in-the-Loop patterns.\nExperience with one or more cloud AI ecosystems: Azure, AWS or GCP.\nStrong knowledge of Python, REST APIs, microservices and distributed/cloud-native architectures.\nExperience with LLM evaluation, tracing, monitoring, prompt/model versioning and LLMOps/MLOps.\nUnderstanding of AI security, guardrails, Responsible AI, identity/access management and data governance.\nAbility to assess architectural trade-offs across accuracy, latency, scalability, reliability and cost.\nMandatory Competencies\nPerks and Benefits for Irisians\nIris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. 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