AI / Intelligent Automation Lead

Role purpose: Designs and implements AI-enabled services, enterprise automations, and analytics solutions that improve service operations, knowledge management, workflow throughput, and decision support across the CIO/CDO portfolio.

Core responsibilities

Architect AI-first solutions for Tier Zero and Tier One service delivery, including virtual agents, knowledge retrieval, intelligent routing, predictive issue detection, and automated troubleshooting.

Lead design and deployment of secure LLM, retrieval-augmented generation (RAG), and agentic automation capabilities aligned to client's governance, privacy, and security controls.

Develop reusable automation pipelines, scripts, and integrations using APIs, workflows, CI/CD, and infrastructure-as-code patterns.

Translate operational data from ticketing, CMDB, monitoring, cloud, and collaboration systems into predictive dashboards, anomaly detection, and root-cause analytics.

Partner with enterprise architecture, data, cyber, and product teams to govern AI use, model lifecycle management, and integration patterns across SaaS and cloud platforms.

Evaluate COTS, low-code, and custom automation options using a buy-versus-build lens and recommend the best-fit implementation path for speed, cost, and maintainability.

Drive responsible AI adoption by documenting model behavior, data lineage, risk controls, prompt/response guardrails, and performance metrics.

Minimum qualifications

Bachelor’s degree in computer science, software engineering, data science, information systems, or related field; master’s degree preferred.

10+ years of experience in AI, analytics, or intelligent automation, including 5+ years designing enterprise automation platforms or AI-enabled products.

Strong hands-on experience with Python, JavaScript, APIs, cloud architecture, data pipelines, and workflow orchestration.

Demonstrated experience with LLMs, RAG architecture, predictive analytics, and secure integration of AI into business workflows.

Microsoft AI Engineer Associate, AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or Certified Artificial Intelligence Practitioner.

Power Platform Solution Architect, Azure/OpenAI integration, or equivalent automation platform certification.

Direct experience with chatbot, document summarization, and research-assistant use cases.

Preferred qualifications / certifications

Experience supporting federal or regulated environments with model governance, privacy, and security controls.

Pay: $175,000.00 - $250,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Work Location: Remote