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PerplexityAI Integration Lead


Job Location:

Washington, DC - USA

Monthly Salary: Not provided by the employer
Posted: 22 August 2026 (15 days ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Koniag IT Systems LLC a Koniag Government Services company is seeking a Perplexity/AI Integration Lead to support KITS and our government customer in Washington DC. The position is remote. This position requires the candidate to be able to obtain a Public Trust. The position is hybrid requires 3 days onsite. We offer competitive compensation and an extraordinary benefits package including health dental and vision insurance 401K with company matching flexible spending accounts paid holidays three weeks paid time off and IT Systems a Koniag Government Services company is seeking an experienced and innovative AI Integration Lead to join a forward-thinking technology team supporting the adoption and operationalization of artificial intelligence tools and platforms across enterprise environments. The ideal candidate is a technically proficient and strategically minded professional with hands-on experience implementing AI-powered solutions including large language model (LLM) platforms such as Perplexity AI and a passion for leveraging emerging technologies to solve complex real-world problems. This individual will serve as the primary subject matter expert and integration lead for AI tooling initiatives driving adoption governance and optimization of AI capabilities across client environments. The AI Integration Lead will serve as the primary technical and strategic lead responsible for the evaluation integration deployment and ongoing optimization of AI platforms and tools including Perplexity AI and related large language model (LLM) technologies within the clients enterprise environment. This individual will work closely with IT leadership business stakeholders and development teams to identify high-value AI use cases architect integration solutions and ensure responsible and effective adoption of AI capabilities in alignment with organizational goals and federal compliance requirements. Principal responsibilities will include but are not limited to:Serve as the subject matter expert and technical lead for AI platform integration initiatives with a focus on Perplexity AI and other enterprise-grade LLM and generative AI the end-to-end evaluation piloting deployment and scaling of AI solutions across client environments ensuring alignment with mission objectives security requirements and IT governance with business analysts IT architects and end users to identify prioritize and document AI use cases that drive operational efficiency knowledge management and decision and oversee integration architectures that connect AI platforms with existing enterprise systems data sources APIs and and maintain AI integration documentation including solution architectures data flow diagrams API integration guides and standard operating and enforce AI governance frameworks responsible use policies and data privacy guidelines to ensure compliant and ethical deployment of AI tools within government or regulated AI platform performance usage metrics and output quality implementing continuous improvement measures to optimize AI tool with cybersecurity and compliance teams to assess and address risks associated with AI platform integrations including data handling access controls and model training enablement and change management support to end users and stakeholders adopting AI tools building organizational AI literacy and current with the rapidly evolving AI technology landscape evaluating emerging tools platforms and methodologies and providing actionable recommendations to with development teams to support the integration of AI capabilities into existing applications portals and enterprise workflows via APIs and the development of AI-related procurement documentation including requirements gathering vendor assessments and statements of regular reports and briefings for IT leadership and executive stakeholders on AI integration progress outcomes risks and and Experience:Required:Bachelors degree in Computer Science Information Technology Data Science Artificial Intelligence or a related field from an accredited college or university or equivalent work experience.8 years of experience in IT systems integration software development data engineering or a related technical discipline.5 years of hands-on experience deploying configuring or integrating AI/ML platforms large language models or generative AI tools in an enterprise experience working with REST APIs cloud platforms and enterprise integration developing or contributing to AI governance responsible AI or data privacy frameworks within an organizational :Masters degree in Computer Science Data Science Artificial Intelligence or a related supporting federal government IT or AI with FedRAMP-authorized AI platforms and federal AI policy guidance including the Executive Order on Safe Secure and Trustworthy Skills and Competencies:Exceptional communication skills in English both written and oral with the ability to translate complex AI concepts for both technical and non-technical audiences including executive -on experience with AI and LLM platforms including Perplexity AI OpenAI Microsoft Azure OpenAI Service Google Vertex AI or equivalent enterprise AI understanding of large language model (LLM) capabilities limitations prompt engineering retrieval-augmented generation (RAG) architectures and AI output evaluation in integrating AI platforms with enterprise systems via REST APIs webhooks SDKs and middleware with cloud platforms such as Microsoft Azure Amazon Web Services (AWS) or Google Cloud Platform (GCP) and their native AI/ML service of data governance data privacy and responsible AI principles including bias mitigation explainability and compliance with applicable with enterprise knowledge management search and information retrieval systems and the application of AI to enhance these to develop clear and comprehensive technical documentation integration guides and governance analytical and problem-solving skills with the ability to assess complex technical challenges and develop practical scalable AI-driven to manage multiple concurrent workstreams in a dynamic fast-paced environment with evolving with Agile development methodologies and the ability to operate effectively within iterative delivery to obtain Public Trust Skills and Competencies:Experience working in a federal government IT environment including familiarity with FedRAMP FISMA and related compliance of cybersecurity principles as they apply to AI platform deployments including data handling access control and model with vector databases and embedding technologies used in retrieval-augmented generation (RAG) implementations (e.g. Pinecone Weaviate Azure AI Search or similar).Experience with Python or other scripting languages for AI integration automation and data pipeline with Microsoft 365 Copilot SharePoint-based AI integrations or Power Platform AI Professional Machine Learning Engineer Microsoft Azure AI Engineer Associate AWS Certified Machine Learning Specialty or equivalent AI/ML with change management and organizational adoption strategies for emerging technology of natural language processing (NLP) concepts and their practical application in enterprise search knowledge management and workflow automation Equal Employment Opportunity PolicyThe company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race color religion creed ethnicity sex sexual orientation gender or gender identity (except where gender is a bona fide occupational qualification) national origin or ancestry age disability citizenship military/veteran status marital status genetic information or any other characteristic protected by applicable federal state or local law. We are committed to equal employment opportunity in all decisions related to employment promotion wages benefits and all other privileges terms and conditions of company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website please get in touch with Heaven Wood via e-mail by calling to request Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical professional and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers employees and native communities. For more information please Opportunity Employer/Veterans/ Preference in accordance with Public Law 88-352

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What We Do Koniag Government Services (KGS) is an Alaska Native Corporation comprised of multiple wholly owned subsidiary companies that deliver Enterprise Solutions, Professional Services, and Operations Management to Federal Government agencies. With an agile employee and corporate ... View more

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