6 часов назад
Technical Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Technical Architect (AI): Defining AI and data platform architectures for enterprise clients and translating engagement patterns into reusable internal IP with an accent on cloud-native systems, governance, and architectural communication. Focus on designing production AI/ML platforms, abstracting client-specific solutions into reusable assets, and governing architecture across concurrent engagements.
Location: On-site in Atlanta, Georgia, United States
Company
connects client-facing technical architecture delivery with internal AI and data intellectual property development through IG Labs.
What you will do
- Define AI and data platform architectures with enterprise CTO, VP Engineering, and Chief Data Officer stakeholders.
- Lead current-state assessments, gap analyses, future-state designs, roadmap sequencing, and architecture discovery sessions.
- Produce reference architectures, architecture decision records, data-flow diagrams, integration blueprints, and governance frameworks.
- Derive reusable patterns, templates, evaluation frameworks, and deployment playbooks from client engagements for the IG Labs IP library.
- Provide architectural oversight across multiple engagements and align technical decisions with project plans, sprint goals, and acceptance criteria.
- Support proposals and pre-sales, mentor delivery engineers and junior architects, and identify architectural drift, scope risk, and technical debt.
Requirements
- 8+ years of experience in technical architecture, solutions architecture, or principal engineering roles.
- Hands-on experience designing production AI/ML, data platform, or cloud-native systems.
- Deep fluency in at least two of AWS, Azure, and GCP.
- Experience defining architecture directly with senior client stakeholders.
- Strong written and visual communication skills, including architecture diagrams, decision records, and executive summaries.
- Ability to abstract reusable patterns from specific implementations and operate with ambiguity in professional services or consulting environments.
Nice to have
- Experience with agentic AI systems, RAG architectures, or LLM orchestration using LangChain, LlamaIndex, or similar tools.
- Familiarity with MCP and AI system integration.
- Experience in financial services, healthcare, or insurance, including MLOps, model governance, or AI lifecycle management.
- Background in professional services, systems integration, or technology consulting, and experience contributing to an IP library or accelerator repository.
- Executive Certificate, Master’s degree, or equivalent advanced credentials.
Culture & Benefits
- Work across active enterprise client engagements and internal IG Labs IP development.
- Participate in IP review cycles focused on peer review, generalizability, and applicability documentation.
- Contribute to Reuse Index targets that measure the use of pre-built IP in engagements.
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