Forward Deployed Engineer
Guides customers through AI transformation by architecting, implementing, and evolving PromptQL AI solutions from pre-sales to post-sale expansion. Requires 7+ years in technical sales/implementation, generative AI experience, and strong enterprise data expertise.
About the job
Role Requirements
- 7+ years of experience in technical pre-sales and/or post-sales implementation roles
- Proven track record as a Principal Architect, Professional Services Consultant, Technical Delivery Lead, or Pre-Sales Engineering Leader
- Direct experience designing, building, or implementing generative AI applications
- Familiarity with large language models, vector databases, and AI orchestration frameworks
- Experience with data access technologies and API development
- Background in implementing complex data projects at enterprise scale
- Knowledge of MLOps, DataOps, or AI engineering practices
- Prior experience with query languages and data transformation techniques
- Success in services-led, consultative technical engagements
- Proven track record identifying and capturing expansion opportunities in existing accounts
- Experience delivering complex data-oriented projects involving multiple stakeholders and technologies
- Strong understanding of enterprise data ecosystems, API integration patterns, and modern architectures
- Exceptional communication skills with ability to translate complex technical concepts to various audiences
- History of building trust-based relationships with technical and business stakeholders
About You
- Must thrive in highly ambiguous, fast moving startup environments
- Must be able to travel onsite to customer engagements
- Must be highly collaborative and think outside of the box (no egos allowed!)
- Must be curious about emerging, innovative tech, particularly around AI
- Must be a self-starter and customer obsessed
Compensation
- $180,000 - $240,000 base salary + Commissions
- Equity
Skills
Generative AI, LLMs, Vector Databases, Ai Orchestration Frameworks, API Development, MLOps, Dataops, Ai Engineering, Query Languages, Data Transformation
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