Staff Applied AI Engineer – Pre-Sales

🕒 March 18

🏢🏡 New York City – Hybrid

💵 '$'190k - '$'330k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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Snorkel AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🤖 Artificial Intelligence

💸 Finance

⚕️ Healthcare Insurance

Artificial Intelligence • Finance • Healthcare Insurance

Snorkel AI is an innovative platform that specializes in providing expert-level training and evaluation data tailored for machine learning models. Their service, known as Expert Data-as-a-Service, enables organizations to create high-quality datasets for AI applications, significantly accelerating model delivery and enhancing accuracy. Founded from research at Stanford, Snorkel partners with leading AI companies to push the boundaries of AI capabilities across various sectors, including finance and healthcare.

📋 Description

• Partner closely with Sales and our AI Solution Practice Leaders to shape technical strategy across active prospects, win technical evaluations, and ensure a seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment. • Lead structured technical discovery engagements with prospects to understand business objectives, success criteria, data landscape, architectural constraints, security considerations, and organizational readiness. • Translate discovery findings into well-defined GenAI solution architectures that demonstrate technical feasibility and business impact using internal frameworks, and complementary third-party technologies. • Design, build and deliver bespoke demos, including evaluation pipelines, dataset strategy, retrieval-augmented generation systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures tailored to specific customer use cases and senior business stakeholders. • Author and contribute to custom proposals, including Statements of Work and RFP/RFI responses, ensuring scope clarity, architectural soundness, realistic effort estimates, and alignment with delivery capabilities. • Systematically capture reusable patterns from bespoke demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks. • Annual travel up to 25%.

🎯 Requirements

• B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience. • 5+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI), including discovery, scoping, demos, proof-of-value engagements, and RFP responses. • Hands-on Python experience and familiarity with the modern Gen AI stack - LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration and agent authoring tools. • Expertise across the predictive ML stack, including classical ML (e.g., scikit-learn) and data processing frameworks (e.g., pandas, Spark). • Ability to operate in fast-paced environments and rapidly build prototypes (ML solutions, RAG systems, prompt-based workflows, fine-tuned models, agentic systems) that demonstrate business value. • Able to translate ambiguous business problems into testable technical approaches and measurable success criteria. • Strong presentation and storytelling skills with the ability to engage both technical and executive audiences with credibility. • Experience estimating scope and producing technical content for proposals and Statements of Work.

🏖️ Benefits

• All offers include equity in the form of employee stock options