Lead AI Solutions Architect For Top MNC

Job description:

LRR Technologies is currently hiring talented professionals to work with Kidde Global Solutions. Kidde Global Solutions is a world leader in fire and life safety solutions tailored for complex commercial facilities and homes. Kidde Golbal is looking for a talented AI Lead Engineer.

Role:

• Define and lead the architecture of an Enterprise AI Platform covering AI Agents, RAG, LLMs, workflows, process automation, and enterprise tool integration.
• Provide technical leadership while remaining hands-on with critical architecture and prototypes.

Responsibilities:

• Define AI platform architecture, standards, and technical roadmap.
• Design scalable AI Agent, Agentic AI, and multi-agent architectures.
• Define enterprise RAG and knowledge architecture.
• Design AI workflow and business process automation architecture.
• Define reusable connector, plugin, and tool architecture.
• Architect integrations with Microsoft 365, Outlook, Teams, SharePoint, Jira, Git, Slack, databases, and enterprise applications.
• Define LLM strategy covering cloud, private, and open-source models.
• Establish AI security, governance, access control, and compliance.
• Define AI evaluation, observability, monitoring, and auditability.
• Lead architecture reviews, POCs, technology selection, and mentor AI engineers.

Required Skills:

• Architecture: Enterprise Architecture, Solution Architecture, Distributed Systems, Microservices, Event- Driven Architecture, Scalability, Security.
• AI/LLM: Generative AI, LLMs, RAG, AI Agents, Agentic AI, Function Calling, Tool Calling.
• Agents: Agent Orchestration, Multi-Agent Systems, Planning, Reasoning, Memory, Human-in-the-Loop.
• Frameworks: LangGraph, LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI.
• RAG/Data: Vector Databases, Embeddings, Semantic/Hybrid Search, Reranking, Knowledge Graphs.
• LLM Infrastructure: OpenAI, Azure OpenAI, Anthropic, Gemini, Open-Source LLMs, vLLM, llama.cpp, Ollama.
• Enterprise Integration: Microsoft Graph, Microsoft 365, Outlook, Teams, SharePoint, Jira, Git, Slack, REST APIs, OAuth2, Webhooks, MCP.
• Engineering: Python, APIs, Git, CI/CD, Docker, Kubernetes, Azure/AWS/GCP.
• Security/Governance: AI Security, Prompt Injection, Data Privacy, RBAC, Agent Security, Audit, Responsible AI.

Experience: 10+ years software engineering/architecture with significant hands-on GenAI/LLM experience.

Education: Bachelors/Masters in Computer Science, Engineering, AI, Data Science, IT, or equivalent.

Ideal Candidate:

• Hands-on AI Architect capable of defining LLMs + RAG + Agents + Workflows + Automation + Connectors + Tools + Security + Governance.
• Proven technical leader who can architect the platform and guide engineering teams to production.

Perks and Benefits:

The position will pay quite well - Rs. 35-40 lakh per annum is the band, and the final amount may be even higher depending on your experience and expertise.

If made an offer, you will need to join in 4 weeks.

This is the opportunity of a lifetime for people looking to specialize in highly coveted niche futuristic skills, and to work in a top multinational company with excellent employee-first initiatives. We look forward to your application.