AI Automation Specialist at TOMORROW HIRE

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jul, 26

Salary

130000.0

Posted On

08 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Java, R, Robotic Process Automation, Machine Learning, Natural Language Processing, AWS, GCP, Azure, Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta, ServiceNow, Workflow Optimization

Industry

Staffing and Recruiting

Description

AI Automation Specialist Location: 100% Remote (USA) Clearance: Active Public Trust / Secret Clearance Employment Type: Full-time Salary: $100,000–$130,000 Description USPS is seeking an experienced Automation Specialist with strong automation skills to join a dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI-driven systems to automate complex business processes using Postal tools. This includes Robotic Process Automation (RPA), Machine Learning (ML), and Natural Language Processing (NLP). The role demands expertise in system architecture, workflow design, writing code/scripts, and building processes using Postal tools in a hybrid on-prem Windows/Unix/Linux and cloud-based environment. Candidates must be able to collaborate across CISO Security and CIO teams to automate workflows, ensure data integrity and accuracy, and support mission-critical operations. Proven hands-on experience with AI/ML libraries, low-code/no-code tools, cloud platforms (AWS, GCP, Azure), Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow, and an RPA platform is required. Occasional off-hours or weekend efforts may be needed for automation implementation, maintenance, upgrades, and support. Responsibilities Solution Design & Development: Create, configure, and deploy automated systems combining AI, machine learning, RPA bots, Microsoft Power Tools, Databricks, and Splunk. Process Analysis: Understand and analyze repetitive, time-consuming business processes to determine the recommended automation solution using Postal tools. Technical Implementation: Write and update code, build custom scripts, integrate AI models into existing infrastructure such as Splunk, Databricks, ServiceNow, and Microsoft Power Tools. Maintenance & Troubleshooting: Monitor and optimize automation performance, troubleshoot errors, and ensure system scalability. Collaboration: Work with IT and CISO stakeholders to define key performance indicators (KPIs) and align automation with organizational goals. Minimum Qualifications Experience: 5+ years of experience specifically in automation/AI-related work Programming: Proficiency in scripting, Python, AND (Java, OR R) Technology Stack: Experience with AI/ML libraries, low-code/no-code tools, Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow ticket generation, cloud platforms (AWS, GCP, Azure), AND a Robotic Process Automation (RPA) platform Data Analysis: Ability to analyze large datasets using multiple tools to uncover patterns for process optimization; ability to analyze and troubleshoot complex data ingestion and parsing issues Process Management: Knowledge of Business Process Management (BPM) and workflow optimization Education: Bachelor’s degree in Computer Science, IT, a related field, OR 10 years of equivalent experience Security Experience: Exposure to network security or cybersecurity Clearance Requirement: Must already have an active Secret clearance or Public Trust Salary $100,000–$130,000 based on experience Benefits Benefits include: Medical, Dental, and Vision Insurance Holidays Paid Time Off (PTO) Life Insurance Short Term Disability Long Term Disability 401(k) Plans Career Development Certifications Training and Development

Responsibilities

The specialist will design, develop, and implement AI-driven systems to automate complex business processes using Postal tools. They will also collaborate with IT and security teams to monitor performance, troubleshoot errors, and ensure system scalability.