Principal Forward Deployed Engineer II, Frontier Engineering
US-CA-Menlo Park · 15+ years experience · Full-time · Onsite · Posted Oct 15, 2026
At a glance
- Experience
- 15+ years experience
- Employment
- Full-time
- Workplace
- Onsite
- Location
- US-CA-Menlo Park
About the role
- The Principal Forward Deployed Engineer II joins the Frontier Engineering team to design, build, and deploy production-grade AI systems for Snowflake's most strategic customers.
- Operating at the IC6 level, this role serves as a senior technical authority and architectural leader, influencing both customer strategy and Snowflake's internal product direction.
- The position requires a hands-on leader who balances executive-level advisory duties with writing production code for critical, high-stakes AI engagements.
Responsibilities
- Build peer-level relationships with CTOs, VPs of Engineering, and chief architects to lead architectural steering and executive strategy alignment.
- Set technical strategy, architecture, and execution models across multiple complex, high-visibility AI engagements.
- Translate recurring customer needs and deployment learnings into clear product requirements for internal Engineering and Product teams.
- Write production code and working prototypes for the most critical or ambiguous parts of customer programs.
- Define organization-level standards for evaluation, observability, reliability, security, and responsible AI deployment.
- Mentor Principal, Staff, and Senior engineers to raise engineering standards across the organization.
- Travel to customer sites at least 25% of the time to work directly with strategic accounts.
Requirements
- 15+ years of software engineering experience, including a sustained track record of building and shipping production AI/ML or agentic systems at enterprise scale.
- Proven track record serving as a trusted technical advisor to CTOs and executive engineering leaders at large enterprises.
- Demonstrated success converting client and field delivery patterns into reusable platforms, tools, frameworks, or reference architectures.
- Deep expertise in production AI architectures, including RAG pipelines, multi-step agentic systems, evaluation frameworks, and guardrails.
- Ability to move from executive strategy to critical technical details while maintaining hands-on implementation involvement.
- Exceptional systems thinking and technical communication skills for both technical and executive audiences.
Preferred qualifications
- Experience leading cross-organizational technical initiatives that improve how enterprise AI solutions are designed, deployed, and adopted.
- Active contributions to open-source AI frameworks, technical publications, or industry speaking engagements.
- Familiarity with Cortex AI, Snowpark, or modern enterprise data infrastructure platforms.
Workplace
- Requires at least 25% travel to customer sites.
Skills
- AI/ML
- Agentic Systems
- RAG Pipelines
- Evaluation Frameworks
- Observability
- Security
- Cortex AI
- Snowpark
- Enterprise Data Infrastructure