Full-Stack AI Engineer at K.L. Scott & Associates

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jul, 26

Salary

0.0

Posted On

06 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software development, Systems integration, DevSecOps, AI integration, Chatbot development, NLP, Secure coding, API development, Cloud architecture, Kubernetes, Monitoring, Incident response, Release management, Data engineering, User-centered design, Enterprise systems

Industry

Business Consulting and Services

Description

Company Overview K.L. Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that partners with public-sector organizations to modernize operations, strengthen data and AI capabilities, and deliver measurable impact. KLSA combines strategic advisory services with hands-on delivery; bringing product leadership, secure data engineering, systems integration, and user-centered design to help clients translate complex requirements into scalable, high-quality solutions. Project Team Roles The following position comprises a multidisciplinary delivery team responsible for planning, building, integrating, deploying, and operating an AI-enabled chatbot capability using an iterative, sprint-based approach with security and risk management embedded throughout. Full-Stack AI Engineer Role KL Scott and Associates is seeking a Full-Stack AI Engineer. This role is responsible for building, integrating, deploying, and operating the AI chatbot within a secure enterprise environment. It combines senior software development, AI integration, systems integration, and DevSecOps responsibilities to ensure reliable production operations. The ideal candidate will reside in or within commutable distance to Washington DC. Responsibilities: Develop the chatbot application and supporting services using secure coding practices and project standards. Implement conversation flows, UI/UX requirements, and functional features aligned to acceptance criteria. Integrate knowledge base and retrieval logic in partnership with data and architecture leads; tune for response quality and latency. Build instrumentation for logging, metrics, and monitoring to support production operations and continuous improvement. Support UAT, defect remediation, and release hardening, including reliability and fail-safe behaviors. Coordinate secure environment setup and readiness across development, staging, and production in partnership with security and IT stakeholders. Manage integration points, connectivity, authentication/authorization patterns, and deployment pathways consistent with project standards. Lead release management including deployment checklists, verification steps, rollback procedures, and post-release validation. Operationalize monitoring, incident response pathways, and support procedures; maintain runbooks and configuration documentation. Support continuous enhancement cycles by integrating new functionality safely and reliably through standardized promotion processes. Support the harvesting and refinement of solutions for internal KLSA product portfolio. Ability to operate with minimal management oversight and maintain compliance in alignment to project requirements. Maintain professional execution of project delivery while engaging with executive presence as all times. Qualifications: Required: Bachelor’s degree in Computer Science, Software Engineering, or related field. Preferred certifications: Cloud Developer (AWS/Azure/GCP), Cloud Architect (AWS/Azure/GCP), Kubernetes/DevOps certifications, Security+ (or higher), secure coding training, AI/ML certification (vendor, academic, or professional), ITIL, CISSP (preferred for senior roles). 10+ years of experience in software development, systems integration, or DevSecOps (web applications, APIs, or enterprise systems). 2+ years building/integrating AI-enabled applications (chatbots, NLP apps, retrieval/search, knowledge assistants) into secure enterprise environments. Strong background in secure coding and deployment practices. Ability to obtain and maintain Top Secret clearance eligibility. Benefits: Competitive salary Health, dental, and vision insurance 401K "Discretionary" PTO Professional development opportunities A dynamic and collaborative work environment Working Conditions: This position may require travel as needed. Some projects may require working extended hours to meet project deadlines. If you are a results-driven professional and have the above qualifications, we encourage you to apply for the Tribal Technology Consultant position. Join our team and contribute to our continued growth and success. To apply, please send your resume and a cover letter detailing your relevant experience and why you are the ideal candidate for this role. K.L. Scott & Associates is committed to diversity and inclusion and welcomes candidates from all backgrounds and experiences to apply. We thank all applicants for their interest, but only those selected for an interview will be contacted.

Responsibilities

The Full-Stack AI Engineer is responsible for building, integrating, and deploying secure AI-enabled chatbots within an enterprise environment. This role involves managing the full development lifecycle, including system integration, monitoring, and operational support.