Senior Applied AI Engineer - Pre-Sales & Solutions

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

Benefits offered by this job

Equity in stock options

Travel up to 25%

Job summary

Snorkel AI is seeking an Applied AI Engineer (Pre-Sales) to partner with Sales and practice leaders, leading technical discovery, solution scoping, and tailored demos for GenAI and ML use cases. You will craft proposals and statements of work, supporting delivery with architected solutions.

You’ll translate complex business challenges into actionable technical plans, build prototypes, and present to both technical teams and executives.

Qualifications

• 8+ years in customer-facing technical roles (pre-sales, solutions engineering, or applied AI)
• Hands-on Python experience and GenAI stack familiarity.
• Ability to translate business problems into testable technical approaches.

Responsibilities

• Shape technical strategy across active prospects and ensure smooth handoff to delivery.
• Lead structured technical discovery engagements to understand objectives and data landscape.
• Translate findings into GenAI solution architectures demonstrating feasibility and business impact.
• Design and deliver bespoke demos and evaluation pipelines tailored to client use cases.
• Author proposals and Statements of Work with clear scope and realistic effort estimates.
• Capture reusable patterns and evolve them into reference architectures and playbooks.

Skills

Python

GenAI stack

ML fundamentals

Presentation skills

Problem solving

Storytelling to execs

Education

B.S. in CS/Engineering/Math/Statistics or equivalent

Tools

LLM tooling

Pandas/Spark

Job description

Snorkel AI is seeking an Applied AI Engineer (Pre-Sales) to partner with Sales and practice leaders, leading technical discovery, solution scoping, and tailored demos for GenAI and ML use cases. You will craft proposals and statements of work, supporting delivery with architected solutions.

You’ll translate complex business challenges into actionable technical plans, build prototypes, and present to both technical teams and executives.