Engineer

Koniag Management Solutions, a Koniag Government Services company, is seeking an AI Engineer to support KMS and our government at Fort Greg Adams, VA. This is a Remote opportunity.

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 more.

We are seeking a talented AI Engineer to join our team and drive the development and deployment of cutting-edge artificial intelligence solutions. The ideal candidate will have extensive experience with the Azure cloud platform, proven expertise in deploying generative AI applications, and a strong foundation in machine learning. This role offers the opportunity to work on innovative AI projects that directly impact our business and customers.

Key Responsibilities:

• Design, develop, and deploy generative AI applications using large language models (LLMs) and other foundation models.

• Build and maintain AI/ML solutions on the Microsoft Azure platform, leveraging Azure OpenAI Service, Azure Machine Learning, and related services.

• Develop end-to-end machine learning pipelines from data preparation through model deployment and monitoring.

• Implement prompt engineering strategies and fine-tuning techniques for generative AI applications.

• Create scalable and reliable AI application architectures with proper error handling, monitoring, and observability.

• Optimize model performance, latency, and cost-efficiency for production environments.

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers.

• Establish MLOps practices, including model versioning, A/B testing, and continuous improvement.

• Ensure AI solutions adhere to responsible AI principles, security standards, and compliance requirements.

• Stay current with the latest developments in generative AI, LLMs, and Azure AI capabilities.

• Document technical designs, architectures, and deployment procedures.

Required Qualifications:

• Ability to obtain a Public Trust.

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, or related field.

• Minimum 5 years of hands-on experience with the Microsoft Azure cloud platform.

• Proven experience deploying and managing generative AI applications in production environments.

• Strong understanding of large language models (LLMs) and prompt engineering techniques.

• Solid foundation in machine learning algorithms, including supervised and unsupervised learning.

• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar).

• Experience with Azure AI services (Azure OpenAI Service, Azure Machine Learning, Cognitive Services).

• Knowledge of MLOps practices and tools for model deployment and monitoring.

• Understanding of API development and integration (REST APIs, microservices architecture).

• Experience with containerization and orchestration technologies (Docker, Kubernetes).

Preferred Qualifications:

• Azure AI Engineer Associate or Azure Data Scientist Associate certification.

• Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases.

• Familiarity with LangChain, Semantic Kernel, or similar LLM application frameworks.

• Experience with computer vision, natural language processing (NLP), or other specialized AI domains.

• Knowledge of deep learning architectures (transformers, CNNs, RNNs).

• Experience with A/B testing and experimentation frameworks for AI models.

• Proficiency in additional programming languages (C#, Java, JavaScript/TypeScript).

• Understanding of responsible AI practices, bias mitigation, and model explainability.

• Experience with agile development methodologies and DevOps practices.

• Experience supporting a federal government client.

Skills and Competencies:

• Strong problem-solving and analytical thinking abilities.

• Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders.

• Passionate about staying current with rapidly evolving AI technologies.

• Ability to work independently and collaborate effectively in team environments.

• Detail-oriented with focus on code quality, testing, and documentation.

• Creative mindset with ability to innovate and propose novel AI solutions.

• Strong project management skills and ability to prioritize multiple initiatives.

Our Equal Employment Opportunity Policy

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 [email protected] 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 _._

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352

Job Details

Job Family Software and Systems Development

Job Function Data Analyst

Pay Type Salary

Education Level Bachelor's Degree