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AI Solution Lead AI Architect

Madiff · United States · 2026-10-16

seniorRemote
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About this role

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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