AI Integration Engineer

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field from an accredited college or university, or equivalent work experience.
• 3+ years of experience in systems integration, software development, API engineering, or a related technical discipline.
• 1+ years of hands-on experience deploying, configuring, or integrating AI platforms, large language models, or generative AI tools within an enterprise environment.
• Demonstrated experience developing and consuming REST APIs and building integrations between enterprise systems using APIs, SDKs, webhooks, or middleware platforms.
• Experience with at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud Platform) and its native AI and integration service offerings.

• Experience working with Perplexity AI, OpenAI, Azure OpenAI Service, or equivalent enterprise LLM platforms in a hands-on integration or deployment capacity.
• Familiarity with retrieval-augmented generation (RAG) architectures and vector database technologies.
• Experience supporting federal government IT environments and familiarity with FedRAMP-authorized AI platforms.

• Exceptional communication skills in English – both written and oral – with the ability to clearly document and communicate technical integration designs, findings, and recommendations to both technical and non-technical audiences.
• Hands-on experience with Perplexity AI, OpenAI API, Microsoft Azure OpenAI Service, Google Vertex AI, or equivalent enterprise-grade AI and LLM platforms, including API configuration, authentication, and integration development.
• Proficiency in one or more programming or scripting languages relevant to AI integration development, including Python, JavaScript, PowerShell, or equivalent, with demonstrated experience developing API integrations, automation scripts, and data processing pipelines.
• Strong understanding of REST API design and consumption principles, including experience with authentication mechanisms such as OAuth2, API keys, and token-based access management.
• Familiarity with retrieval-augmented generation (RAG) architectures and experience configuring or working with vector databases and embedding technologies such as Pinecone, Weaviate, Azure AI Search, Chroma, or equivalent platforms.
• Experience integrating AI platforms with enterprise applications and collaboration tools, including Microsoft 365, SharePoint, ServiceNow, Microsoft Teams, or equivalent enterprise systems.
• Knowledge of cloud platform services relevant to AI integration, including Azure AI Services, AWS Bedrock, or Google Cloud AI Platform, and their native integration and orchestration capabilities.
• Familiarity with prompt engineering principles and techniques, including the design and optimization of system prompts, few-shot examples, and context management strategies to improve AI output quality and reliability.
• Strong troubleshooting and diagnostic skills with the ability to identify, isolate, and resolve issues across complex AI integration architectures and multi-system environments.
• Experience conducting testing activities for AI integration solutions, including functional, performance, and output quality evaluation.
• Ability to develop and maintain clear and comprehensive technical documentation, including integration architecture diagrams, API guides, data flow documentation, and operational runbooks.
• Familiarity with Agile development methodologies and the ability to contribute effectively within iterative development frameworks.
• Ability to obtain a Public Trust Clearance.

• Direct hands-on experience with Perplexity AI platform APIs, enterprise deployment configurations, and integration with organizational knowledge bases and data sources.
• Experience working in a federal government IT environment, including familiarity with FedRAMP, FISMA, NIST, and related compliance and security frameworks governing AI platform deployments.
• Familiarity with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent tools used to coordinate multi-step LLM workflows and RAG pipelines.
• Experience with Microsoft 365 Copilot, Power Platform AI capabilities, or SharePoint-based AI integrations within enterprise Microsoft environments.
• Knowledge of data governance and responsible AI principles, including data privacy, bias mitigation, explainability, and output validation practices relevant to enterprise AI deployments.
• Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate (AI-102), AWS Certified Machine Learning – Specialty, or equivalent AI/ML platform certification.
• Experience with containerization and deployment technologies such as Docker and Kubernetes as they relate to AI application and integration solution deployment.
• Familiarity with CI/CD pipeline concepts and DevOps practices as applied to AI integration solution development, testing, and deployment workflows.
• Experience with enterprise search and knowledge management platforms and their integration with AI-powered retrieval and question-answering capabilities.
• Knowledge of cybersecurity principles and secure coding practices as they apply to AI platform integrations, including input validation, output sanitization, and protection against prompt injection and other AI-specific security risks.

The 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 employment.

The 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 at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag 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 visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled.

Shareholder Preference in accordance with Public Law 88-352