Principal AI Engineer
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Job Description
Principal AI Engineer leading design and implementation of AI systems at Chainguard, impacting Sales and Marketing. Partnering with teams to drive AI solutions transforming GTM workflows.
Responsibilities:
- Experiment Constantly! Design, build, and operate production-grade AI solutions that support GTM use cases, including account intelligence, deal prioritization, forecasting, personalization, enablement, and customer insights.
- Evaluate new AI technologies, frameworks, and vendors, contributing to build vs. buy decisions and technical direction.
- Lead the technical architecture and implementation of GenAI and ML systems, including LLM-powered applications, retrieval-augmented generation (RAG), recommendation systems, and predictive models.
- Partner closely with the Senior Director of AI Solutions and GTM stakeholders to translate business requirements into scalable technical designs.
- Own the end-to-end lifecycle of AI solutions, from data ingestion and feature development to model deployment, monitoring, and iteration.
- Integrate AI capabilities into existing GTM platforms and workflows (e.g., Salesforce, internal tools, analytics platforms).
- Establish best practices for AI engineering, including model evaluation, observability, performance optimization, and reliability.
- Collaborate with Data, GTM Systems, Security, and Legal teams to ensure solutions meet data quality, privacy, security, and compliance standards.
- Drive adoption by ensuring AI solutions are usable, trusted, and embedded into how GTM teams work day to day.
Requirements:
- 8+ years of experience in software engineering, data engineering, or ML engineering, with hands-on experience delivering AI-powered systems to production.
- Strong practical experience with Generative AI and LLM-based systems, including prompt engineering, RAG architectures, and evaluation techniques.
- Experience building and deploying machine learning models or intelligent systems that support decision-making or automation.
- Solid understanding of data pipelines, feature engineering, APIs, and system integration, even if you’re not a full-time data platform engineer.
- Proficiency in modern programming languages commonly used in AI systems (e.g., Python, SQL, and/or backend languages such as Go or Java).
- Experience integrating AI solutions into business applications or GTM systems, such as CRM, analytics, or internal tooling.
- Strong architectural judgment, with the ability to make tradeoffs between speed, quality, scalability, and maintainability.
Benefits:
- Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.
- Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!).
- 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck.
- ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset.
- 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year.
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