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AI Solution Lead AI Architect

Madiff

RemoteUnited StatesseniorFull Time
Posted
today
Source
Himalayas
Field
Engineering

Skills

CommunicationLeadershipAnalyticsSecurityAzureSQLLLMsMachine LearningAI

Description

This is a remote position. We are looking for aAI Solution Lead AI Architectto anchor several strategic Generative AI initiatives. This role guides architecture, delivery, and quality across conversational AI, document intelligence, RAG-based enterprise search, and natural language data interfaces. The position requires strong hands-on GenAI experience, architectural leadership, and the ability to align engineering, data science, and business stakeholders. Responsibilities - Lead the design and delivery of multiple Generative AI use cases - Define end-to-end architecture for RAG systems (embeddings, chunking, retrieval, orchestration) - Guide cross-functional teams including data scientists, ML engineers, and backend teams - Shape guardrails, evaluation logic, metrics, and enterprise AI controls - Provide architectural leadership for voice assistants (TTS/STT + LLM reasoning), document intelligence, and NL-to-SQL assistants - Collaborate with business stakeholders to align scope, outcomes, and delivery expectations - Support onsite workshops and architectural reviews when required - Ensure solutions meet standards for performance, compliance, security, and maintainability Requirements - Strong STEM background with experience delivering enterprise AI or ML solutions - Proven hands-on delivery inGenerative AI, preferably within Azure ecosystems - Deep understanding ofRAG patterns, embeddings, prompting, and LLM reasoning flows - Experience leading technical teams and coordinating multi-stream AI programmes - Strong communication skills and ability to influence senior stakeholders - Ability to translate business needs into scalable AI architectures and execution plans Nice to have - Familiarity withLLM orchestration frameworksand enterprise AI governance - Exposure toTTS/STT technologiesfor conversational assistants - Experience withnatural language interfacesand conversational analytics - Understanding of AI evaluation frameworks and operational guardrails Benefits - Solid, competitive salary - Work in multinational environment on international projects - Comprehensive healthcare - Long-term B2B contract with stable project pipeline - Fully remote model Originally posted on Himalayas

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