9 часов назад
Solution Architect (AI)
140 000 - 178 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solution Architect (AI/Data): Designing, implementing, and scaling customer data solutions for enterprise clients with an accent on data integration, governance, analytics, and AI-powered personalization. Focus on building scalable architectures, deploying AI/ML-driven customer use cases, troubleshooting complex integration challenges, and guiding client and internal technical teams.
Location: Hybrid, working from the Mountain View, California office
Yearly salary: $140,000–$178,000
Company
provides an AI-powered agentic experience platform for customer acquisition, retention, personalization, and marketing execution.
What you will do
- Lead technical discovery and architecture design sessions with enterprise customers.
- Translate business requirements into scalable architectures, integration flows, and implementation plans using CDP, data workflows, connectors, and APIs.
- Configure solutions and develop data pipelines, integrations, workflow automations, and identity-resolution capabilities.
- Advise customers on data ingestion, transformation, governance, security, compliance, scalability, and performance.
- Architect AI/ML-driven use cases including segmentation, predictions, customer journey orchestration, and personalized marketing.
- Collaborate with engagement managers, solutions consultants, data engineers, QA, client stakeholders, and technology partners through successful go-lives.
Requirements
- 5+ years of experience architecting and implementing large-scale data solutions, ideally in SaaS, martech, adtech, CDP, or enterprise cloud environments.
- Experience designing complex data architectures, ETL/ELT pipelines, APIs, integrations, and workflow automations.
- Hands-on skills with SQL, Python, JavaScript, and AWS, GCP, or Azure.
- Strong understanding of customer data models, GDPR/CCPA compliance, and identity resolution.
- Experience with segmentation, analytics, personalization, activation, and omnichannel orchestration.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience; strong client communication and consultative problem-solving skills.
Nice to have
- Cloud, data engineering, or solution architecture certifications.
- Experience integrating AI/ML models, LLMs, or AI agents into customer data and analytics platforms.
- Experience building chatbots, workflow automation, or agent-based orchestration solutions.
- Familiarity with Treasure Data or similar enterprise CDP platforms and advanced martech/adtech stacks.
Culture & Benefits
- Global hybrid working policy with office-based work in Mountain View for this role.
- Medical, dental, and vision plans with an Employee Assistance Program.
- Company-paid life insurance, short- and long-term disability coverage, and a 401(k) with a 4% company match.
- Restricted Stock Units and Flexible Time Off.
- Up to 26 weeks of paid parental leave and global reproductive health and family-building support.
- Commitment to diversity, equity, inclusion, belonging, growth, ownership, and innovation.
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