Forward Deployed Engineer, AI Catalyst Team

Objective

To serve as a technical cornerstone throughout the AI transformation journey, providing expert guidance and implementation support from initial discovery through post-sale expansion. This forward-deployed AI engineer will blend deep technical expertise with customer‑facing skills to architect, implement, and evolve complex AI solutions using Prompt

QL's agentic‑data access layer. The role spans pre‑sales technical validation, solution architecture, implementation, and ongoing customer success.

• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
• 10+ 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
• Deep technical expertise in data architecture, infrastructure, and application development
• Full‑stack engineering capabilities with intermediate to expert‑level proficiency in primary domain
• Experience delivering complex data‑oriented projects involving multiple stakeholders and technologies
• Demonstrated success in both pre‑sales technical validation and post‑sales implementation
• 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

• 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, Data Ops, 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

We're seeking a versatile technical leader who can navigate the entire AI transformation journey with customers. The ideal candidate is:

• A technical virtuoso who "walks on water" when solving complex problems
• Equally comfortable writing code and presenting to executive stakeholders
• Naturally consultative with a strong customer empathy and business understanding
• Adaptable to shifting between pre‑sales, implementation, and post‑sales roles
• Technically curious with a passion for staying at the forefront of AI technologies
• Business‑minded with the ability to identify expansion opportunities
• Methodical in approach while maintaining agility to respond to customer needs
• Self‑directed with exceptional project and time management skills
• A trusted advisor who builds credibility through technical expertise and delivery excellence
• Collaborative across cross‑functional teams including Sales, Product, and Engineering

Our team values technical excellence, customer obsession, and end‑to‑end ownership. We're looking for someone who:

• Thrives in the "services‑led, highly consultative" approach to AI transformation
• Takes ownership of customer success from initial discovery through post‑implementation
• Embraces the challenge of being a technical liaison between customers and internal teams
• Demonstrates persistence in solving complex technical challenges
• Balances immediate customer needs with long‑term solution scalability
• Contributes to the evolution of best practices for implementing Prompt
  
  QL technologies
• Values partnership with AI Strategists to create seamless customer experiences
• Exhibits intellectual curiosity about emerging AI applications and techniques
• Actively seeks to expand technical and domain knowledge
• Finds satisfaction in customer success and tangible business outcomes

This role offers the unique opportunity to shape the future of enterprise AI implementation while working with cutting‑edge technologies like agentic‑data access layers and Prompt

QL.

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