22 часа назад
Specialist Solutions Architect - AI/ML
180 000 - 247 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Specialist Solutions Architect - AI/ML (Generative AI/MLOps): Designing and deploying production AI/ML architectures on the Databricks unified platform, including AI agents, automated pipelines, and optimized model training and inference with an accent on enterprise GenAI implementation. Focus on building RAG and multi-agent systems, applying guardrails and evaluation, scaling MLOps workloads, and guiding customers through technical pre-sales architecture.
Location: United States
Salary: $180,000–$247,500 USD per year
Company
Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.
What you will do
- Design and deploy production-level ML and AI architectures on the Databricks unified platform.
- Build AI agents, automated end-to-end pipelines, and optimized model training and inference workflows.
- Implement enterprise Generative AI solutions using RAG, tool-calling, multi-agent orchestration, guardrails, evaluation, and observability.
- Build and maintain scalable customer AI workloads using MLOps practices across multiple industries.
- Support Solutions Architects and prospects during technical pre-sales, covering feature engineering, model tracking, serving, and monitoring.
- Translate customer feedback into product insights and collaborate with Engineering and Product teams.
Requirements
- 5+ years of hands-on industry experience in ML Engineering or AI Engineering.
- Experience building cloud infrastructure for production ML applications and drift monitoring on AWS, Azure, or GCP.
- Experience with LLMs, agentic systems, vector databases, fine-tuning, AI guardrails, and tools such as LangChain, Hugging Face, or OpenAI APIs.
- Understanding of lakehouse architectures, Delta Lake, data modeling, and BI integration across major cloud platforms.
- Ability to explain complex AI/ML concepts to technical and non-technical audiences.
- Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience; ability to travel up to 30% and complete role-specific milestones within the first six months.
Nice to have
- Prior experience in pre-sales or post-sales technical consulting.
Culture & Benefits
- Comprehensive benefits and perks are offered, with details varying by region.
- Commitment to a diverse and inclusive workplace.
- Annual performance bonus and equity may be included in the total compensation package.
- The role may require access to export-controlled technology or source code, subject to U.S. government licensing decisions.
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