Staff Applied AI Engineer - Pre-Sales

Required

• B.S. in Computer Science, Engineering, Math/Statistics, or equivalent experience.
• 8+ 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.