Artificial Intelligence Engineer

Brooksource is seeking an AI Engineer to support a nuclear online work management initiative for a Fortune 200 energy client. The role focuses on building, deploying, and supporting production Generative AI and Agentic AI solutions in Databricks, including RAG systems, document processing pipelines, multi-agent workflows, and governed human-in-the-loop controls.

Responsibilities

• Design, build, deploy, and support production AI agents within Databricks that improve nuclear work management and operational decision-making
• Develop RAG capabilities across structured enterprise data and unstructured procedures, policies, technical documentation, and operational records
• Build multi-agent workflows that interpret operational changes, identify impacted work, and recommend appropriate reprioritization or next steps
• Implement human-in-the-loop controls and guardrails to ensure AI-generated recommendations are reviewed and approved before triggering downstream actions
• Build document extraction and processing pipelines that convert large volumes of unstructured records into governed, searchable, and queryable data
• Integrate AI agents with enterprise work management systems, operational data sources, APIs, and Databricks data products
• Develop testing and evaluation frameworks to measure retrieval quality, response accuracy, agent performance, and reliability before and after production deployment
• Implement AI monitoring, tracing, observability, and performance optimization to continuously improve accuracy, latency, reliability, and cost
• Identify opportunities where deterministic logic, SQL, or traditional reporting should be utilized instead of an LLM to improve reliability and efficiency
• Partner with engineering, data, architecture, nuclear operations, and business teams to translate operational use cases into scalable AI solutions
• Support AI governance, solution architecture, audit logging, disaster recovery, and technical documentation required for production deployment within a highly regulated nuclear environment
• Troubleshoot and continuously enhance production AI solutions as new use cases, data sources, and operational requirements are introduced

Preferred

• Experience building Agentic AI or multi-agent workflows
• Experience with MLOps, AI tracing, monitoring, and evaluation
• Experience working with governed or sensitive enterprise data
• Multi-agent workflows
• MLOps
• AI evaluation
• Enterprise data governance
• Sensitive data handling

Company

• Engineering and IT staffing and professional services for Fortune 500s
• Indianapolis, Indiana, USA
• http://www.brooksource.com/
• Founded in 2000
• 1001-5000 employees

Qualifications

• 4+ years of experience building and supporting production software, data engineering, or AI/ML solutions within enterprise environments
• Strong hands-on development experience with Python and SQL, including building production-ready applications, data pipelines, APIs, or backend services
• 1+ year of hands-on experience developing applications utilizing Large Language Models (LLMs), Generative AI, or Agentic AI
• Demonstrated experience taking at least one LLM-based application from development through production deployment and supporting real-world users
• Experience designing and building Retrieval-Augmented Generation (RAG) solutions that leverage enterprise data, document repositories, and other governed information sources
• Strong hands-on experience with Databricks, including Unity Catalog, Delta tables, Databricks Jobs, serverless compute, and working within governed enterprise data environments
• Experience developing document extraction and processing pipelines that transform large volumes of unstructured documents into structured, searchable, and queryable data
• Understanding of AI agent architecture and design, including tool selection, permissions, grounding, orchestration, and defining appropriate boundaries for agent behavior
• Experience implementing AI guardrails and human-in-the-loop workflows to ensure recommendations are reviewed and approved before triggering downstream actions
• Experience evaluating AI and RAG solutions for accuracy, retrieval quality, latency, reliability, and cost, with the ability to use evaluation results to continuously improve production performance
• Understanding of AI observability, tracing, monitoring, and auditability within production environments, particularly when working with sensitive or highly governed enterprise data
• Experience building Agentic AI or multi-agent workflows
• Experience with MLOps, AI tracing, monitoring, and evaluation
• Experience working with governed or sensitive enterprise data

Required skills

• AI Agent Architecture, AI Evaluation, AI Guardrails, AI Observability, Agentic AI, Databricks, Delta Lake, Document Extraction and Processing, Generative AI, Human-in-the-Loop Workflows, Large Language Models (LLMs), Python, Retrieval-Augmented Generation (RAG), SQL, Unity Catalog

Preferred skills

• (10), *2020, 2025-05-06, 2025-05-17, 2025-05-27, 4.0, 90, AI Tools, Analyze How Well You Fit, Build Cover Letter, Company data provided by, Customer Service and Support, Customize Your Resume, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Experience building Agentic AI or multi-agent workflows, Glassdoor, H1B Sponsorship, Indianapolis, Indiana, USA, Late Stage, Make your application stand out, Maximize your interview chances, Recent News, Represents job field similar to this job, Technically Media, Trends of Total Sponsorships, Understand your strength & weakness, http://www.brooksource.com

Experience

• 4+ years