4 дня назад
AI Transformation Architect (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Transformation Architect (Agentic AI): Translate complex enterprise business challenges into validated Agentic AI solution designs, prototypes, and integrations with an accent on customer discovery, multi-agent architectures, and AI platform adoption. Focus on designing retrieval pipelines, orchestration logic, custom data connectors, and integrations with CRMs, ERPs, and APIs through the MCP framework.
Location: Tempe, United States
Company
provides an AI-powered customer experience platform that combines voice, digital communications, human agents, and Agentic AI to resolve customer issues and improve business operations.
What you will do
- Embed with strategic customer stakeholders to discover high-impact business problems and translate them into Agentic AI solutions.
- Partner with Sales, Sales Engineering, Professional Services, and Customer Success as the technical authority during presales evaluations.
- Lead AI workshops and Proofs of Concept to validate solution feasibility and demonstrate measurable business value.
- Assess enterprise cloud, on-premises, data pipeline, and integration requirements, including custom connectors and orchestration logic.
- Design and advise on multi-agent systems, fine-tuned models, retrieval pipelines, decision logic, and integrations with CRMs, ERPs, and custom APIs.
- Share customer pain points, integration patterns, and platform limitations with Product and Engineering teams to influence the roadmap.
Requirements
- 4+ years of experience in a customer-facing technical role such as AI architecture, technical consulting, Sales Engineering, or Solutions Architecture for SaaS or AI products.
- Deep expertise in LLMs, Generative AI, vector databases, agent orchestration frameworks, and modern AI/ML technologies.
- Proficiency in Python, Go, and JavaScript/TypeScript, with hands-on experience using LLM frameworks.
- Ability to communicate technical trade-offs, value propositions, and project plans to engineering teams and C-suite stakeholders.
- Strong ownership, adaptability in ambiguous environments, and focus on delivering measurable customer outcomes under tight timelines.
Nice to have
- Experience designing multi-agent architectures and fine-tuned models for enterprise data, domain, and security requirements.
- Experience integrating AI systems with CRMs, ERPs, custom APIs, and enterprise infrastructure.
Culture & Benefits
- Work at the center of AI transformation in business communications.
- Build and ship Agentic AI products for enterprise customers.
- Access competitive benefits, comprehensive perks, and a robust training program.
- Work in an inclusive office environment focused on collaboration, connection, and employee empowerment.
- Opportunities for professional growth in a high-growth technology industry.
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