RemoteListed Jul 19, 2026
AI Solution Lead AI Architect
Madiff
- AI-Architecture
- AI-Engineering
- AI-ML-Solutions-Architect
- AI-Solutions-Lead
- Developer
- Enterprise-AI-Solutions-Architect
- Generative-AI
- Machine-Learning-Engineering
- Principal-AI-Solutions-Architect
- Solutions-Architect
Assessed from original listing evidence
The role
Job 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
- 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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