AI Solution Lead AI Architect
TypeFull-time job
LocationUnited States
Posted4 hours ago
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
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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