$174,000 – $215,000
Listed on Fiddler AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
A Solutions Engineer role supporting enterprise customers in deploying AI observability platforms and integrating them into production systems. Suited for engineers who enjoy technical pre-sales work, thrive on customer relationships, and want to guide organizations through AI monitoring and governance.
Our summary, not Fiddler AI’s wording. The full posting is on their site.
Skills this role names
- Amazon S3
- Amazon Web Services (AWS)
- Apache Airflow
- Apache Hadoop
- Apache Kafka
- Argo CD
- Google BigQuery
- Kubeflow
- Kubernetes
- Microsoft Azure
- MLflow
- MongoDB
- PyTorch
- RabbitMQ
- scikit-learn
- Snowflake
- SPARK
- TensorFlow
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What they ask for
Required
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- 5+ years professional experience
- 2+ years hands-on pre-sales or forward deployed engineer experience in AI
- Strong communication and presentation skills
- Project management and organizational skills
- Cross-functional collaboration experience
- Customer-first mindset
Nice to have
- West Coast PST time zone
- Data science and model interpretability concepts
- Government or governmental agency support experience
- GenAI and Agentic workflow application experience
- Familiarity with data and workflow tools like Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo
- Machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Kubernetes and cloud platform experience
- ML/DS lifecycle knowledge
- Understanding of Generative AI, LLMs, RAG architectures, and agent systems
- Federal accounts and sales motion experience