AI Automation Engineer

Payrate: $87.00 - $92.00/hr.


Summary:
The main function of this role is to design, build, and maintain automation pipelines that improve operational readiness, data validation, and engineering workflow efficiency. This role will focus on replacing manual, spreadsheet-driven, or ad hoc processes with reliable software-driven workflows that integrate data sources, apply validation logic, generate reports, and support human review where needed. The engineer will initially focus on deployment readiness and operational workflow automation, then expand into telemetry validation, data quality checks, points-list review automation, and repeatable reporting pipelines.


Responsibilities

• Design and implement automation pipelines that streamline operational, validation, and engineering workflows.
• Gather and analyze requirements from engineering, operations, and program stakeholders; translate ambiguous manual processes into clear technical designs.
• Integrate data from internal systems, databases, work tracking tools, spreadsheets, and document repositories.
• Build software solutions that ingest, normalize, validate, and report on operational and telemetry-related data.
• Develop reusable validation rules, checks, and reporting modules that can scale across multiple workflows.
• Automate manual review processes while preserving appropriate human-in-the-loop approval gates.
• Create reliable scripts, services, or tools with clear logging, error handling, retries, and auditability.
• Prepare technical specifications, test plans, and implementation documentation.
• Modify and improve existing automation tools to meet new standards, requirements, and operating models.
• Conduct unit testing, integration testing, and post-implementation validation.
• Troubleshoot issues across new and legacy systems, identify root causes, and implement durable fixes.
• Partner with internal stakeholders to ensure automation outputs are actionable, trusted, and operationally usable.

Qualifications

• Bachelor's degree in computer science, computer engineering, data engineering, or a related technical field required.
• 5-7 years of software engineering or automation engineering experience preferred.
• Strong programming experience, preferably with Python, PowerShell, C#, or similar automation-friendly languages.
• Experience building backend tools, data pipelines, workflow automation, or internal engineering platforms.
• Strong understanding of data structures, algorithms, software design, and maintainable code practices.
• Experience integrating with APIs, databases, work item systems, files, and enterprise data sources.
• Ability to work with structured and semi-structured data such as SQL/KQL query results, spreadsheets, JSON, CSV, and logs.
• Experience with validation frameworks, data quality checks, automated reporting, or operational readiness tooling.
• Strong troubleshooting skills across both new and legacy production systems.
• Experience writing unit tests, test data, and validation plans for automation workflows.
• Ability to operate in ambiguous environments and convert manual business processes into reliable software systems.

Skills

• Experience with cloud or enterprise data platforms.
• Familiarity with telemetry systems, operational monitoring, or industrial/IoT data workflows.
• Experience with Azure DevOps, GitHub, CI/CD pipelines, or similar engineering lifecycle tools.
• Experience building tools used by engineering or operations teams.
• Strong communication skills and ability to document technical designs for non-specialist stakeholders.

Pay Transparency: The typical base pay for this role across the U.S. is: $87.00 - $92.00 /hour . Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.


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