AI / Intelligent Automation Lead

Description

Company Description

Citizant is a leading provider of professional IT services to the U.S. government. We seek to address some of our country’s most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, and Program Management support services – focusing on the U.S. Departments of Homeland Security and Treasury. We strive to hire only ethical, talented, passionate, and committed “A Players” who already align with the company’s core values: Drive, Excellence, Reputation, Responsibility, and a Better Future. No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all individual contributions. About The Role We are seeking an AI / Intelligent Automation Lead to design and implement intelligent automation capabilities that enhance operational efficiency, decision-making, and digital service delivery. This role will lead the integration of AI-enabled tools, automation platforms, and advanced analytics across enterprise IT systems, service operations, and data platforms. The AI / Intelligent Automation Lead will work across engineering, service delivery, and data teams to automate workflows, implement AI-powered insights, and develop intelligent digital capabilities that improve user experience, operational performance, and mission outcomes. This role combines AI strategy, automation engineering, analytics enablement, and enterprise platform integration within a modern cloud-based, SaaS-driven environment.

Key Responsibilities

AI Strategy & Intelligent Automation

• Lead the design and implementation of AI-enabled automation strategies to enhance enterprise technology services and operational efficiency.
• Identify opportunities to automate repetitive processes, service desk operations, and data workflows using AI and intelligent automation technologies.
• Implement automation-first approaches across enterprise platforms, leveraging machine learning, predictive analytics, and intelligent agents to improve service delivery.
• Establish best practices for responsible AI adoption, governance, and operational integration.

AI-Enabled Service Operations

• Implement AI-powered service management capabilities, including virtual agents, automated troubleshooting tools, and predictive issue detection.
• Develop automation solutions that reduce service desk workload through self-service tools, chatbots, and intelligent routing of support requests.
• Use AI-driven analytics to identify service trends, root causes of incidents, and opportunities for operational improvement.
• Monitor performance metrics for automated service capabilities to improve response times, resolution rates, and user satisfaction.

Intelligent Automation for Platforms & Systems

• Design and implement automated workflows and integrations between enterprise platforms using APIs, event-driven automation, and orchestration tools.
• Develop automation pipelines that connect enterprise applications, cloud services, and collaboration platforms.
• Implement automation-as-code practices using CI/CD pipelines, workflow orchestration tools, and automation frameworks.
• Integrate AI capabilities into enterprise SaaS platforms to improve productivity, collaboration, and decision-making.

AI-Driven Data Analytics & Decision Support

• Lead development of AI-powered analytics capabilities to extract insights from operational and enterprise data.
• Develop predictive models, statistical analysis tools, and machine learning workflows that support data-driven decision-making.
• Design and implement data pipelines and analytics platforms that support real-time and batch processing of enterprise data.
• Develop dashboards and visualization tools that allow leadership to monitor performance metrics, operational trends, and program outcomes.
• Enable predictive insights that support mission-critical decisions and improve operational performance.

Automation Architecture & Governance

• Establish frameworks for secure, scalable AI implementation across enterprise technology platforms.
• Ensure automation solutions align with enterprise architecture, cybersecurity requirements, and data governance policies.
• Implement monitoring tools to track AI system performance, model accuracy, and automation effectiveness.
• Develop governance policies for the responsible use of AI and automated decision-support tools.

Collaboration & Stakeholder Engagement

• Work closely with engineering, cybersecurity, service operations, and data teams to integrate AI capabilities across the enterprise environment.
• Communicate complex AI concepts and automation strategies to technical and non-technical stakeholders.
• Provide training and guidance to teams on automation tools, AI platforms, and intelligent workflow solutions.
• Support cross-functional teams in identifying automation opportunities and implementing scalable solutions.

Requirements

Required Qualifications Experience

• 10+ years of AI/automation experience; AND 5+ years’ experience enterprise automation platforms
• Experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) architecture: Python, JavaScript; Other object-oriented programming languages: React.js, Cloud Architecture
• Experience integrating automation with enterprise platforms and cloud environments.
• Experience building analytics dashboards and data-driven reporting tools.

Technical Skills

• AI/ML frameworks and data science tools.
• Automation platforms and workflow orchestration tools.
• API integration and event-driven automation.
• Data engineering and analytics pipelines.
• Enterprise SaaS platforms and cloud services.
• Analytical & Communication Skills
• Ability to translate complex technical solutions into business value.
• Strong analytical problem-solving skills.
• Experience presenting insights and automation strategies to leadership.

Preferred Qualifications

• Experience implementing AI-powered service management tools or virtual assistants.
• Experience with data analytics platforms, predictive modeling, or machine learning solutions.
• Familiarity with DevOps, CI/CD pipelines, and automation-as-code practices.
• Knowledge of federal cybersecurity and compliance frameworks.

Education

• Master’s degree in a relevant field

Certifications

• Microsoft AI Engineer.
• AWS Machine Learning Specialty (or Azure AI Engineer Associate)
• And one or more of the following: Google Professional Machine Learning Engineer, Certified Artificial Intelligence Practitioner (CAIP)

Security Requirements (Required)

• U.S. Citizenship required.
• Must possess or be able to obtain/maintain a Public Trust background investigation

Citizant Offers a Competitive Benefits Package, Including

• Medical, dental, and vision insurance
• 401(k)
• Generous PTO
• Company-paid life and disability insurance
• Flexible Spending Accounts (FSA)
• Employee Assistance Program (EAP)
• Tuition Assistance & Professional Development Program

Additional Information Citizant strives to be an employer of choice in the Washington metropolitan area. Citizant associates accept challenging and rewarding work and in return receive excellent compensation and benefits, as well as the opportunity for personal and professional development. Citizant is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Apply tot his job Apply To this Job