Enterprise AI Solutions Engineer

Snowflake; Baltimore (MD); On-site; USD 165,000 - 217,000; Full time

Benefits offered by this job

Commission plan

Equity plan

Medical insurance

401(k) retirement plan

Paid holidays

Parental leave

Job summary

Snowflake is seeking a customer-facing Solution Engineer in the Mid-Atlantic region to guide customers from raw data to real AI impact. You will architect scalable solutions, deliver compelling demos, and influence buying decisions across executive and technical audiences.

You’ll partner with Sales to design AI-driven data modernization strategies, showcase scalable data solutions, and translate technical concepts into measurable business outcomes.

Qualifications

• Strong SQL proficiency and experience with modern data warehousing.
• Experience using Python for analytics or ML workflows.
• Familiarity with AI/ML concepts, including Generative AI and LLMs.
• Exceptional communication skills across technical and executive audiences.
• Ability to influence stakeholders and maintain credibility under pressure.
• A growth mindset with a track record of learning and adapting quickly.

Responsibilities

• Lead customer conversations on AI strategy and data modernization.
• Design and demonstrate scalable data and AI solutions using SQL and Python.
• Support enterprise Proof of Concepts from concept to value realization.
• Translate complex technical concepts into measurable business outcomes.
• Navigate objections and competitive dynamics in high-stakes sales cycles.
• Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery.

Skills

SQL proficiency

Python

AI/ML concepts

Communication

Stakeholder influence

Growth mindset

Job description

Snowflake is seeking a customer-facing Solution Engineer in the Mid-Atlantic region to guide customers from raw data to real AI impact. You will architect scalable solutions, deliver compelling demos, and influence buying decisions across executive and technical audiences.

You’ll partner with Sales to design AI-driven data modernization strategies, showcase scalable data solutions, and translate technical concepts into measurable business outcomes.