Staff Applied AI Engineer – Pre-Sales

Snorkel AI

. Partner with Sales and AI Solution Practice Leaders to shape technical strategy across prospects and win technical evaluations .

Posted 11/11/2026full-timeUnited StatesLead💰 $190,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in translating business objectives into GenAI solution architectures, leveraging hands-on experience with Python and modern GenAI stacks. Capable of leading technical discovery engagements and effectively communicating complex technical strategies to diverse stakeholders.

Highest-signal resume keywords

Python ProgrammingGenAI Stack FamiliarityClassical ML ExpertiseData Processing FrameworksCustomer-Facing Technical Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonClassical MLScikit-LearnData ProcessingPandasSparkLLM EcosystemsRAG SystemsPrompt EngineeringAgentic Architectures

Soft Skills

Strong Presentation SkillsStorytelling Skills

Tools & Technologies

LLM OrchestrationVector DatabasesSynthetic Dataset CurationEvaluation WorkflowsAgent Authoring Tools

Industry Keywords

Technical StrategyPre-SalesSolutions EngineeringTechnical ProposalsRFP/RFI Responses

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSpark

About the role

Key responsibilities & impact

Partner with Sales and AI Solution Practice Leaders to shape technical strategy across prospects and win technical evaluations
Ensure seamless transition to post-sales delivery through structured handoff documentation and clear expectation alignment
Lead technical discovery engagements covering business objectives, success criteria, data landscape, architectural constraints, security, and organizational readiness
Translate discovery findings into GenAI solution architectures demonstrating technical feasibility and business impact
Design, build, and deliver bespoke demos, including evaluation pipelines, dataset strategy, RAG systems, fine-tuning workflows, prompt engineering strategies, and agentic architectures
Author and contribute to proposals, Statements of Work, and RFP/RFI responses
Capture reusable patterns from demos and evolve them into reference architectures, demo assets, benchmarks, and internal solution playbooks
Collaborate with delivery teams during initial implementation
Communicate technical approaches to engineering teams and senior business stakeholders
Surface field insights to inform product and research roadmaps

Requirements

What you’ll need

B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience
8+ years in customer-facing technical roles, including pre-sales, solutions engineering, or applied AI
Hands-on Python experience
Familiarity with modern GenAI stack, including LLM ecosystems, RAG, vector databases, data processing, synthetic dataset curation, evaluation workflows, LLM orchestration, and agent authoring tools
Expertise in classical ML, including scikit-learn
Experience with data processing frameworks such as pandas and Spark
Ability to rapidly build ML, RAG, prompt-based, fine-tuned model, and agentic system prototypes
Ability to translate ambiguous business problems into testable technical approaches and measurable success criteria
Strong presentation and storytelling skills for technical and executive audiences
Experience estimating scope and producing technical content for proposals and Statements of Work
Willingness to travel up to 25% annually

Benefits

Comp & perks

Equity in the form of employee stock options
Opportunities to shape priorities and initiatives and influence strategic decisions
Support for deepening technical expertise, exploring leadership opportunities, and learning new skills
Career growth, learning, and shared success environment
Equal employment opportunities
Reasonable accommodation for individuals with disabilities