Specialist Solutions Architect - AI/ML (Retail)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Specialist Solutions Architect - AI/ML (Retail): Architecting production-grade ML and AI applications on the platform with an accent on GenAI, MLOps, and RAG architectures. Focus on building agentic systems, optimizing training/inference, and collaborating with product teams to influence the AI roadmap.
Location: Remote, but must be based in the United States and able to travel up to 30%
Salary: $180,000 — $247,500 USD
Company
is a data and AI company providing a Data Intelligence Platform used by over 10,000 organizations to unify data, analytics, and AI.
What you will do
- Architect production-level ML & AI workloads including agents, end-to-end ML pipelines, and training/inference optimization.
- Implement enterprise GenAI solutions such as RAG architectures, agentic systems, and AI observability and monitoring.
- Scale and optimize customer AI workloads using best-in-class MLOps practices.
- Provide advanced technical support to Solution Architects during the technical sale process.
- Collaborate cross-functionally with product and engineering teams to represent the voice of the customer and influence the roadmap.
Requirements
- 5+ years of hands-on industry ML experience as an ML or AI Engineer.
- Experience with LLMs, agentic systems, vector databases, and tools such as HuggingFace, Langchain, and OpenAI.
- Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics) or equivalent practical experience.
- Ability to communicate and teach technical concepts to both technical and non-technical audiences.
- Must be based in the US and capable of traveling up to 30% of the time.
Nice to have
- 2+ years of customer-facing experience in a pre-sales or post-sales role.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Inclusive culture with a strong commitment to diversity and equal opportunity.
- Eligibility for annual performance bonuses and equity.
- Environment focused on life-long learning and driving business value through AI.
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