AI Automation Specialist

Nightwing
Remote

About The Position

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets. This position is CONTINGENT upon funding, an open position, customer approval, completion of a favorable background investigation, and the ability to obtain and maintain our customer's sensitive clearance. Our client, the Postal Service CISO organization, is seeking to hire an Automation Specialist to join our dynamic team. The focus of the position is heavily on Automation skills and not Artificial Intelligence. Our customer is looking for someone that can perform automation using their (Postal Services’) current tools (MS Power Tools, Splunk, Databricks, SharePoint, Okta, ServiceNow, etc…) in order to automate audit requests and reports for the CISO Compliance team. Currently they utilize Excel for everything, and he is looking for someone to help build out capabilities to automate and combine data sets to query for the Compliance 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 experience 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, data accuracy, and support mission-critical operations. 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 may be required.

Requirements

  • Work Experience: 5+ years with 2+ years hands-on performing data automation.
  • Automation Development: Hands on experience with data automation to generate audit requests and reports using Postal Service tools (MS Power Tools, Splunk, Databricks, SharePoint, Okta, ServiceNow, etc…).
  • Programming: Proficiency in scripting, Python, Java, and/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 an RPA (Robotic Process Automation) platform.
  • Data Analysis: Ability to analyze large datasets, leveraging 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.
  • Security Experience: Exposure to network security or cybersecurity
  • U.S. citizenship is required and the ability to obtain a clearance

Nice To Haves

  • Desired Certifications (one or more desired): DOD 8570.1-M Compliance at IAT Level II; CISSP

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 recommended automation solution using Postal tools.
  • Technical Implementation: Write and update code, build custom scripts, integrate AI models into existing infrastructure like 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.
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