AI Solution Lead AI Architect

๐Ÿข Madiff ยท all Madiff jobs
๐Ÿ“ United States
๐Ÿ“… Posted 2026-07-19 ยท via Himalayas
๐Ÿท AI-Architecture,Generative-AI,Machine-Learning-Engineering,AI-Engineering,AI-Solutions-Lead,Principal-AI-Solutions-Architect,AI-ML-Solutions-Architect,Enterprise-AI-Solutions-Architect,Solutions-Architect
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This is a remote position.
We are looking for a AI Solution Lead AI Architect to 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 in Generative AI , preferably within Azure ecosystems

- Deep understanding of RAG 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 with LLM orchestration frameworks and enterprise AI governance

- Exposure to TTS/STT technologies for conversational assistants

- Experience with natural language interfaces and 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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