Deterministic AI Deployment Engineer

Serve AI

United States

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Serve AI seeks Forward Deployed Engineers to implement enterprise AI deployments inside customer environments. You will own named accounts end to end, translating customer data discussions into concrete platform configurations and live solutions.

You will work directly with customer data teams, perform data modeling, and drive accuracy improvements through rigorous evaluation and validation. This role involves cross-environment deployment and strict data security practices.

Qualifications

  • Strong SQL proficiency with the ability to translate business needs into data queries.
  • Proficient Python coding for data workflows and pipelines.
  • Experience running technical sessions with customer data teams.
  • Ability to model business domains and translate them into platform configurations.
  • Familiarity with evaluation metrics, test sets, and error analysis.

Responsibilities

  • Own deployments end to end for named accounts from kickoff to live/accepted.
  • Collaborate with customer data teams to define warehouse schemas and deployment requirements.
  • Model how a business talks about its data and configure the platform accordingly.
  • Diagnose accuracy gaps and determine if issues are config, data, or platform-related.
  • Deploy across environments including cloud, on-premise, edge, and airgapped.
  • Handle customer data and credentials responsibly and securely.

Skills

SQL
Python
Customer facing
Data modeling
Evaluation literacy
Written precision

Tools

Snowflake
BigQuery
Databricks
Postgres

Job description

Serve AI seeks Forward Deployed Engineers to implement enterprise AI deployments inside customer environments. You will own named accounts end to end, translating customer data discussions into concrete platform configurations and live solutions.

You will work directly with customer data teams, perform data modeling, and drive accuracy improvements through rigorous evaluation and validation. This role involves cross-environment deployment and strict data security practices.

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