Applied AI Engineer

About the role

About The Company

Snorkel is a pioneering technology company dedicated to democratizing artificial intelligence by focusing on the importance of data in AI development. Established as a research project within the Stanford AI Lab in 2015, Snorkel has evolved into a leading platform that empowers enterprises to transform expert knowledge into customized AI solutions at scale. The company’s mission is to enable ororganisations cross various industries—including finance, media, technology, and more—to accelerate AI deployment by leveraging high-quality, annotated data. With a strong commitment to innovation, Snorkel continuously advances its AI data development platform to keep pace with the rapid evolution of generative AI and machine learning technologies. The company is renowned for its collaborative culture, cutting-edge solutions, and a focus on fostering diversity and inclusion in the tech industry.

About The Role

As an Applied AI Engineer (Pre-Sales), you will play a critical role at the intersection of technical expertise and customer engagement. Your primary responsibility will be to partner closely with the sales team and AI Solution Practice Leaders during pre-sales activities. You will lead technical discovery sessions with prospects to understand their business challenges, data landscape, and architectural constraints. Your expertise will help translate these insights into tailored AI solutions, demonstrating the value of modern generative AI and machine learning techniques through bespoke demos, prototypes, and proof-of-concept implementations. Additionally, you will develop clear, technically sound proposals and Statements of Work to set realistic expectations and ensure successful project delivery. This role offers a unique opportunity to influence client success, contribute to product development insights, and showcase your deep technical knowledge of AI and data systems. You will also collaborate with delivery teams during initial implementations, ensuring a seamless transition from pre-sales to deployment, while continuously capturing reusable patterns and evolving reference architectures to support future engagements.

Qualifications

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

8+ years of experience in customer-facing technical roles such as pre-sales, solutions engineering, or applied AI

Hands-on experience with Python programming and familiarity with modern generative AI stacks, including large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and data processing tools

Strong understanding of the entire machine learning stack, including classical ML frameworks like scikit-learn, and data processing frameworks such as pandas and Spark

Proven ability to rapidly build prototypes demonstrating business value, including ML solutions, RAG systems, prompt engineering workflows, and agentic architectures

Excellent communication skills with the ability to articulate complex technical concepts to both technical and executive audiences

Experience in estimating scope, producing technical proposals, and responding to RFPs/RFIs

Ability to operate effectively in fast-paced environments and manage multiple projects simultaneously

Responsibilities

Partner with Sales and AI Solution Practice Leaders to shape technical strategies for active prospects and ensure smooth transition to post-sales delivery

Lead structured technical discovery sessions to understand clients’ business objectives, data landscape, security requirements, and organizational readiness

Translate discovery insights into well-defined AI solution architectures that demonstrate technical feasibility and business impact

Design, develop, and deliver customized demos, including evaluation pipelines, dataset strategies, retrieval-augmented generation systems, fine-tuning workflows, and prompt engineering

Draft and contribute to proposals, Statements of Work, and RFP/RFI responses, ensuring clarity of scope, effort estimates, and architectural soundness

Capture and document reusable patterns from demos to develop reference architectures, benchmark datasets, and internal solution playbooks

Collaborate with delivery teams during initial implementations to ensure alignment and success

Engage with clients to unpack complex business challenges and demonstrate how AI solutions can drive measurable outcomes

Provide field insights that inform product development and research roadmap initiatives

Benefits

Competitive salary package with a compensation range of $190,000 to $300,000 OTE

Equity in the form of employee stock options

Comprehensive health, dental, and vision insurance plans

Flexible work arrangements, including remote work options in the US

Generous paid time off and holidays

Opportunities for professional growth and career development in a fast-growing company

Participation in innovative projects at the forefront of AI technology

Inclusive and diverse workplace culture that values different perspectives

Equal Opportunity

Snorkel AI is an equal employment opportunity employer committed to fostering an inclusive environment. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. We are dedicated to providing reasonable accommodations to individuals with disabilities throughout the application and employment process. All employment decisions are made based on qualifications, performance, merit, and business needs, and we welcome candidates from diverse backgrounds to join our team.