Senior GenAI Pre-Sales Engineer – Remote

JoinStartup; New York, San Francisco (NY, CA); Hybrid; USD 190,000 - 350,000; Full time

Benefits offered by this job

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Job summary

Snorkel AI is seeking a Staff Applied AI Engineer - Pre-Sales to lead technical discovery, solution architecture, and demo development for GenAI and ML solutions with enterprise customers. You will partner with Sales and AI Solution Practice Leaders to shape strategy, design bespoke demos, and translate findings into scoped proposals.

Annual travel up to 25% is expected. Ideal candidates have 8+ years in customer-facing technical roles, hands-on Python experience, and expertise across the

Qualifications

• 8+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI) with discovery, scoping, and demos.
• Experience designing GenAI/ML demos, evaluation pipelines, and RAG architectures.
• Ability to translate business problems into testable technical approaches and measurable success criteria.

Responsibilities

• Partner with Sales and AI Solution Practice Leaders to shape technical strategy and win technical evaluations.
• Lead structured technical discovery engagements to understand objectives, data landscape, and constraints.
• Design and deliver bespoke demos including evaluation pipelines, RAG systems, and agentic architectures.

Skills

Python

LLM orchestration

Vector databases

Prompt engineering

Fine-tuning

Agentic systems

RAG systems

Scikit-learn

Pandas

Spark

Education

B.S. in Computer Science

Tools

Python

LLM stacks

Data processing frameworks

Job description

Snorkel AI is seeking a Staff Applied AI Engineer - Pre-Sales to lead technical discovery, solution architecture, and demo development for GenAI and ML solutions with enterprise customers. You will partner with Sales and AI Solution Practice Leaders to shape strategy, design bespoke demos, and translate findings into scoped proposals.

Annual travel up to 25% is expected. Ideal candidates have 8+ years in customer-facing technical roles, hands-on Python experience, and expertise across the