0000001423.AI ENGINEER II.INFO TECH - DATA AND AI
Dallas County3 months ago
Dallas, TX, USAMid Level
Responsibilities
- Design, develop, and maintain AI agents, multi-agent systems, orchestration workflows, and scalable data pipelines.
- Integrate internal and external data sources with enterprise data platforms, data lakes, and data warehouses.
- Perform data profiling, cleansing, standardization, transformation, validation, and quality improvement.
- Monitor pipeline health, troubleshoot failures and anomalies, perform root-cause analysis, and optimize inefficient data processes.
- Implement LLM tracing, debugging, evaluation, observability, MLOps integration, version control, lineage, and reproducibility practices.
- Document AI architectures, APIs, business rules, data logic, sources, transformations, diagrams, guides, and metadata.
- Collaborate with DevOps, infrastructure, enterprise architecture, cybersecurity, QA, analysts, data scientists, developers, and system owners.
- Support data access controls, retention policies, secure handling of sensitive data, compliance documentation, and policy-aligned AI delivery.
- Translate business and AI requirements into technical specifications, pipeline designs, and architecture decisions.
- Support dashboards, reports, self-service analytics, stakeholder training, deployments, audits, and data requests.
- Mentor junior data engineers or interns and participate in design reviews, planning, retrospectives, demos, knowledge sharing, and hackathons.
Requirements
- Bachelor’s degree or equivalent education and experience in Computer Science, Information Systems, Data Science, AI and Analytics, or a related field.
- Five years of work-related experience in data engineering, data analytics, or AI/ML data processing.
- Knowledge of DevOps, CI/CD, containerized applications, Docker, Kubernetes, sovereign cloud or GovCloud environments, and scalable data workflows.
- Knowledge of big-data frameworks, data warehousing, data lakes, data modeling, vector databases, graph databases, data catalogs, and business intelligence tools.
- Skill in SQL, Rust, Go, Python, and/or Scala for data transformation.
- Knowledge of Azure, AWS, or GCP and storage technologies such as SQL Server, Snowflake, and Parquet.
- Experience or knowledge with AWS SageMaker, LangChain, Pydantic, Model Context Protocols, Amazon Bedrock, vector databases, RAGs, data integration tools, Jupyter Notebooks, and API gateways.
- Knowledge of streaming technologies including Kafka, Kinesis, and Pub/Sub.
- Knowledge of data privacy and compliance regulations including HIPAA, GDPR, and CJIS, and the ability to implement AI within government policy frameworks.
- Strong analytical, problem-solving, communication, documentation, collaboration, and independent-work skills, including the ability to mentor junior team members.
- Master’s degree and certifications in cloud architecture, data modeling, governance, AWS data engineering or analytics, Snowflake, or Databricks are preferred.
- Valid Texas driver’s license, good driving record, and ability to provide a 10-year driving history.
- Must be able to pass and maintain a national fingerprint-based records check if required for access to criminal justice databases.
Benefits
- Occasional travel to County sites is required.
- The role operates in a fast-paced, evolving technology environment.
- The position may require compliance with County policies and a national fingerprint-based records check for applicable system access.
Tech Stack
Apache KafkaApache SparkAWSAzureDatabricksDockerGitGoGoogle Cloud PlatformJupyter NotebookKubernetesMicrosoft SQL ServerNext.jsPythonReactRustScalaSnowflakeSQL
Categories
AI ApplicationsData Engineering