7 дней назад
Senior AI Architect
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Architect (LLM/Agent Orchestration): Designing high-level architectures for conversational AI experiences with an accent on intent routing, workflow orchestration, tool and API integration, and LLM observability. Focus on defining LangGraph-based agent patterns, integrating Azure AI services, and ensuring privacy, security, auditability, and responsible AI practices.
Location: India — Hyderabad, Bangalore, Chennai, Kolkata, Noida, Gurgaon, Pune, Indore, or Mumbai
Company
provides enterprise technology and consulting services, with a focus on digital transformation and cloud solutions.
What you will do
- Design high-level architectures for conversational AI experiences.
- Define interactions between user intents, workflows, tools, APIs, and backend systems.
- Guide the use of LangGraph and similar agent orchestration patterns.
- Define MCP or structured-contract approaches for tool and API integration.
- Establish observability for LLM calls, tool calls, latency, cost, failures, and quality.
- Support technical decisions across frontend, backend, AI, cloud, SRE, QA, security, and product teams.
Requirements
- Experience with AI/ML, conversational AI, or LLM-based products.
- Hands-on experience or strong understanding of LangGraph or comparable agentic AI orchestration frameworks, including LangChain, Semantic Kernel, CrewAI, or AutoGen.
- Understanding of intent routing, state management, tool calling, fallback handling, and orchestration.
- Familiarity with Azure AI services, Azure OpenAI, or Azure AI Foundry.
- Understanding of backend APIs, cloud architecture, enterprise integrations, and LLM observability.
- Strong communication skills for explaining architecture to technical and non-technical stakeholders.
Nice to have
- MCP or tool integration experience.
- Exposure to vector search.
- Experience with consumer-facing, CRM, contact center, or enterprise portal systems.
Culture & Benefits
- Work model prioritizes in-person collaboration while offering flexibility for wellbeing, productivity, individual work styles, and life circumstances.
- Inclusive environment focused on strong connections and community.
- Full-time employment.
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