Solutions Architect

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $145k - $290k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Logo of Baseten

Baseten

11 - 50 employees

Founded 2020

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 $8M Seed Round on 2022-04

Artificial Intelligence • SaaS • Enterprise

Baseten is a company that provides fast, scalable model inference services, designed for performance, security, and a delightful developer experience. They offer tools to streamline the entire development process, enabling high-throughput inference and fast deployment times. Baseten caters to enterprise companies by delivering robust, secure, and scalable model serving solutions, particularly useful for machine learning and AI model deployment. Their solutions allow organizations to efficiently manage model infrastructure while focusing on creating domain-specific models. Baseten supports open-source model packaging and offers autoscaling features to handle varying demand efficiently.

📋 Description

• Partner with Sales on customer discovery calls • Lead demos and technical scoping to align on success criteria, architecture, and deployment approach • Own benchmarking and repeatable deployments across LLMs, embeddings, image and video generation, and Voice AI • Advise on GPU and inference configuration tradeoffs, including H100s versus B200s and latency- versus throughput-optimized setups • Drive consistent playbook-style deployments for common models and use cases • Become a power user of vLLM, SGLang, TRT-LLM, and their common configurations and tradeoffs • Scope POCs and align stakeholders on timelines, deliverables, and next steps • Act as project manager for POCs • Pull in Forward Deployed Engineering support when deeper or more complex technical work is needed

🎯 Requirements

• AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders • Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements • Technical depth to scope solutions, without needing to write production code • Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows • Experience running or supporting benchmarks for ML inference deployments • Familiarity with infrastructure tradeoffs relevant to inference performance and cost, including GPU selection and latency versus throughput tuning • Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering

🏖️ Benefits

• Competitive compensation, including meaningful equity • (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents • Flexible PTO policy including company wide Winter Break • Paid parental leave • Fertility and family-building stipend through Carrot • (U.S. only) Company-facilitated 401(k) • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities

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