Artificial Intelligence Engineer

Calance; United States; On-site; USD 140,000 - 180,000; Full time

Job summary

Calance is seeking a Senior AI Engineer to design and maintain production-grade decisioning and data processing systems in a rules-driven enterprise environment.

The role focuses on Python-based decision pipelines, business rule implementation, and CI/CD delivery, with emphasis on reliable, scalable production systems. Expect hands-on work with Databricks, PySpark, and Pandas, plus Azure AI Foundry and OpenAI integrations as needed.

Qualifications

• Strong, hands-on experience with Python for production systems.
• Hands-on experience with Databricks for enterprise data engineering and production pipelines.
• Hands-on experience with Azure AI Foundry for developing and deploying enterprise AI solutions.
• Advanced proficiency with PySpark and Pandas.
• Proven experience implementing business rules or rule-driven systems.
• Experience with OpenAI or other LLMs in enterprise apps.
• Familiarity with Git-based delivery models and CI/CD pipelines.

Responsibilities

• Design, build, and support scalable Python-based processing and decisioning pipelines using Databricks, PySpark, and Pandas.
• Develop and maintain enterprise data processing workflows within the Databricks platform.
• Translate complex business rules and domain logic into clean, testable, and maintainable decisioning systems.
• Build modular, reusable components for orchestrated, production workflows.
• Develop and integrate AI-powered solutions using Azure AI Foundry, including OpenAI and other LLM services when required.
• Integrate internal and external APIs with robust error handling and retry strategies.
• Implement data validation, structured logging, and monitoring for production observability.
• Participate in Git-based development with branching, PRs, code reviews, and conflict resolution.
• Build and maintain CI/CD pipelines in Azure DevOps with release workflows and deployment monitoring.
• Support and troubleshoot live production systems.

Skills

Python

Databricks

PySpark

Pandas

Azure AI Foundry

OpenAI models

Git

Azure DevOps

CI/CD

Production pipelines

Tools

Databricks

Azure DevOps

Airflow

ADF

Job description

• Must have: Databricks / Kedro pipeline, Azure OpenAI / Foundry , Multi-agent orchestration & — Full-stack integration path

Role Summary

We are seeking a Senior AI Engineer to build and support production-grade decisioning and data processing systems in a highly rules-driven enterprise environment.

This is a hands‑on engineering role focused on Python-based decision pipelines, business rule implementation, and CI/CD delivery. Strong experience with Databricks and Azure AI Foundry is essential for building scalable enterprise AI and data solutions. Exposure to enterprise AI or LLM capabilities, including OpenAI models, may occur when required, but the primary emphasis is on reliable, maintainable, production systems rather than experimentation or research.

Core Responsibilitie s

• Design, build, and support scalable Python-based processing and decisioning pipelines using Databricks, PySpark, and Pandas.
• Develop and maintain enterprise data processing workflows within the Databricks platform.
• Translate complex business rules and domain logic into clean, testable, and maintainable decisioning systems.
• Build modular, reusable components suitable for orchestrated, production workflows.
• Develop and integrate AI-powered solutions using Azure AI Foundry, including enterprise AI, OpenAI, and other LLM services when required.
• Integrate enterprise AI or LLM services (including OpenAI models) when needed, including basic prompt/template configuration and structured output parsing.
• Apply standard safety and compliance controls (e.g., PII handling, input/output validation).
• Integrate internal and external APIs with robust error handling and retry strategies.
• Implement data validation, structured logging, and monitoring to support production observability and troubleshooting.
• Participate in Git-based development, including branching, pull requests, code reviews, and conflict resolution.
• Build and maintain CI/CD pipelines in Azure DevOps, including release workflows and deployment monitoring.
• Support and troubleshoot live production systems.

Required Skills & Experience

• Strong, hands‑on experience with Python engineering for production systems.
• Hands‑on experience with Databricks for enterprise data engineering, notebook development, and production data pipelines.
• Hands‑on experience with Azure AI Foundry for developing, deploying, and integrating enterprise AI solutions.
• Advanced proficiency with PySpark and Pandas.
• Proven experience implementing business rules, decision logic, or rule‑driven systems.
• Experience working with OpenAI, Agentic AI systems, or AI‑assisted workflows.
• Experience integrating and working with OpenAI or other large language models (LLMs) in enterprise applications.
• Solid understanding of Git‑based delivery models.
• Hands‑on experience with Azure DevOps, including CI/CD pipelines and deployment monitoring.
• Experience supporting enterprise production workloads.

Nice to Have

Experience in utilities, energy, or other rules-heavy domains.

Familiarity with workflow orchestration tools (ADF, Airflow, etc.).

Prior exposure to applied AI systems in enterprise environments.