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Remote role with broad responsibilities and a generalist 'Technical Architect' title increases applicant competition.
Core GenAI architecture skills transfer across industries, but enterprise compliance and domain depth increase fit sensitivity.
Explicit 10+ years, 3+ years architect experience, and mandatory GenAI/LLM and vector DB expertise impose strict filters.
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Own end-to-end architecture of Generative AI solutions including retrieval, orchestration, model integration, and deployment layers.
Lead multiple client engagements, conduct discovery workshops, and refine business requirements into technically sound AI solutions with clear success metrics.
Guide delivery teams, run design reviews, mentor engineers, maintain architecture documentation, and drive cross-project reuse through internal frameworks and reference implementations.
10+ years in software engineering, data, or AI roles with at least 3 years as an architect or technical lead.
Demonstrated experience architecting and delivering production Generative AI systems (not just prototypes or POCs).
Strong hands-on Python skills for prototyping and reviewing production code.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
Deep expertise in LLM application architecture including prompt engineering, tool calling, and orchestration, plus experience with RAG system design.
Strong client-facing consulting experience with executive communication and ability to influence technical decisions across multiple teams.
Proven ability to manage multiple enterprise AI programs simultaneously, lead senior engineers, and mentor future technical leaders while balancing quality, cost, and delivery timelines.