Senior AI Engineer (14+ Years) | Washington, DC | Long-Term Contract

Job Summary:
We are seeking a senior AI Engineer with expertise in low-code/no-code platforms and modern AI tooling. The ideal candidate is a “vibe coding” expert with hands-on experience in tools like Claude Vortex, capable of optimizing token usage while building scalable AI-driven solutions.

Key Responsibilities:

• Architect and implement CI/CD pipelines for code deployment to AWS Bedrock and Azure using outputs from Replit and Lovable AI

• Define governance frameworks, roles, risk tiers, and controls for citizen development programs

• Deliver standardized templates, reference architectures, UI guidelines, and integration patterns

• Implement security guardrails including IAM, data classification, logging, monitoring, and compliance

• Lead training, onboarding, and establish Communities of Practice for citizen developers

• Drive adoption and operationalization of Business-Led IT (BLIT) model across teams

• Manage intake, triage, and delivery of business-driven IT requests

• Coordinate cross-functional teams (Business, EA, Security, Product, Infra)

• Support low-code/no-code POCs and vendor collaboration

• Maintain documentation (RACI, process flows, governance standards, user guides)

• Track progress, reporting, and governance readiness

• Support Agile/SAFe ceremonies including PI Planning and system demos

• Enable change management, communication, and continuous improvement initiatives

Required Skills & Experience:

• 10+ years leading full-stack development teams

• Strong experience with low-code/no-code platforms (Replit, Lovable, etc.) and citizen developer programs

• Expertise in CI/CD, DevSecOps, and tools like GitHub/GitLab, Bitbucket, Jenkins

• Cloud experience with AWS/Azure (certification preferred)

• Knowledge of enterprise IT governance, architecture reviews, and security processes

• Experience defining guardrails, standards, and platform roadmaps

• Proficiency with analytics tools like Power BI

• Strong understanding of platform-based development, risk classification, and escalation models

• Experience in Agile/SAFe environments (SAFe Agilist certification required)

• Strong product management/business analysis exposure

• Excellent communication, documentation, and stakeholder coordination skills

• Ability to manage multiple initiatives, risks, and governance alignment

• Experience creating operational documentation (RACI, workflows, user journeys)

• Familiarity with compliance, security, and data management standards

• Strong analytical, problem-solving, and continuous improvement mindset

Education:
Master’s degree in Engineering or equivalent experience