Iris Software - Generative AI Architect - Agentic AI Solutions in Noida, भारत

Job Description :GenAI Solutions Architect :Role Purpose :Lead the architecture and delivery of enterprise-grade Generative AI and Agentic AI solutions, translating business requirements into scalable, secure, and production-ready AI https://jobeax.com/link/rV84y7zx2OOzhnpa the technical vision from discovery and PoC through production deployment and https://jobeax.com/link/JQlli5hw40FS19iT Responsibilities :- Design end-to-end GenAI, RAG, Agentic AI and multi-agent architectures.- Define solution patterns covering LLMs, embeddings, vector databases, orchestration, APIs, data pipelines and enterprise integrations.- Architect AI agents with tool/function calling, workflow orchestration, memory, Human-in-the-Loop and MCP-based integrations.- Evaluate and select appropriate foundation models, AI platforms and architecture patterns based on quality, latency, security and cost.- Design solutions using Azure OpenAI / Azure AI Foundry, Amazon Bedrock / AgentCore, Google Vertex AI or equivalent platforms.- Establish LLMOps, evaluation, observability, guardrails and Responsible AI practices.- Define scalable cloud-native deployment architectures using APIs, containers, Kubernetes, serverless and asynchronous/event-driven patterns.- Ensure architecture meets enterprise requirements for security, privacy, resilience, scalability, compliance and cost optimization.- Lead architecture workshops, technical design reviews, PoCs and solution demonstrations.- Create reference architectures, technical standards and reusable accelerators for GenAI adoption.- Partner with business, product, security, data and engineering stakeholders to drive solutions from use case identification to production https://jobeax.com/link/CfQ7Y0jA6ByZBBtl Skills :- Strong expertise in Generative AI, LLMs, Agentic AI and AI solution architecture.- Hands-on experience with RAG, embeddings, vector search and semantic retrieval.- Experience with agent frameworks such as LangGraph, LangChain, Microsoft Agent Framework, Semantic Kernel, Bedrock Agents/AgentCore or equivalent.- Strong understanding of multi-agent orchestration, tool calling, context engineering, memory and Human-in-the-Loop patterns.- Experience with one or more cloud AI ecosystems: Azure, AWS or GCP.- Strong knowledge of Python, REST APIs, microservices and distributed/cloud-native architectures.- Experience with LLM evaluation, tracing, monitoring, prompt/model versioning and LLMOps/MLOps.- Understanding of AI security, guardrails, Responsible AI, identity/access management and data governance.- Ability to assess architectural trade-offs across accuracy, latency, scalability, reliability and https://jobeax.com/link/qEycSCr7XQNP4nIF Experience : - Experience delivering multiple enterprise GenAI solutions from PoC to production.- Exposure to multimodal AI, knowledge graphs, fine-tuning/model customization and advanced retrieval techniques.- Experience with Docker, Kubernetes, CI/CD, Infrastructure as Code and observability platforms.- Cloud or architecture certifications across Azure, AWS, GCP or TOGAF are https://jobeax.com/link/grJUCHw2MtFekolh & Qualifications :- 12 - 15 years of overall experience in software engineering, AI/ML, cloud or solution architecture.- 3+ years of hands-on experience with Generative AI / LLM-based solutions preferred.- Proven experience operating as a Solution Architect, Technical Architect, GenAI Lead or equivalent.- Bachelors or Masters degree in Computer Science, Engineering, AI or a related https://jobeax.com/link/ccqAd3cMaFCqcdwy :- Best in the industry, commensurate to experience and skills of the aspirant (ref:hirist.tech)