Artificial Intelligence; AI Engineer

Posted Wednesday, November 26, 2025 at 5:00 AM | Expires Tuesday, January 27, 2026 at 4:59 AM

Koniag Government Services is seeking an experienced Artificial Intelligence (AI) Engineer with an active Secret security clearance to support KMS and our government customer in Huntsville, AL.

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.

This role will involve providing expert guidance on AI initiatives, leading research efforts, and collaborating with cross-functional teams to implement AI solutions in cloud environments (especially Google Cloud or Microsoft Azure). The ideal candidate ensures not only strong model performance, but also that systems are resilient, secure, scalable, and compliant with best practices and relevant regulations. They will oversee the full lifecycle from model development to production deployment and maintenance, with a heavy emphasis on operational and security posture.

• Design, train, fine-tune, and deploy AI/ML models (LLMs, embeddings, classification models, RAG pipelines).
• Build secure, scalable APIs and services to integrate AI capabilities into business systems.
• Design and implement agentic AI workflows that coordinate multiple models or services to achieve mission objectives
• Integrate retrieval-augmented generation (RAG) and agentic reasoning into production environments
• Implement and maintain automated CI/CD pipelines for model development, testing, deployment, and rollback.
• Design and implement containerized applications and services that can be deployed across multiple cloud environments.
• Build portable AI pipelines with containerization to ensure future-proof deployments and migration flexibility.
• Integrate security and compliance controls into all phases of development (Dev Sec Ops ), code scans, dependency management, vulnerability assessment, etc.
• Use Infrastructure as Code (IaC) tools to provision, configure, and maintain cloud resources.
• Deploy AI/ML systems to production in cloud environments (Google Cloud or Microsoft Azure), ensuring scalability, performance, and cost optimization.
• Understanding of autonomous workflow design, reasoning strategies, and error handling
• Ensure compliance with data security, privacy, and regulatory requirements.
• Collaborate across teams (product, operations, security, data) to translate business requirements and risk posture into technical implementation.

• Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, Tensor Flow, cloud-native AI libraries).
• Hands-on experience with cloud platforms (Google Cloud, Azure) for AI/ML deployment.
• Experience with containerization (Docker), orchestration (Kubernetes) for model deployment.
• Experience building and managing CI/CD pipelines including automated testing and secure software delivery.
• Familiarity with Dev Sec Ops  practices: vulnerability scanning, dependency management, secure coding, secrets management, encryption.
• Experience with Infrastructure as Code (e.g. Terraform, Cloud Formation, Azure Resource Manager).
• Proficiency with APIs / microservices (FastAPI, REST, Graph
  
  QL).
• Knowledge of vector databases or retrieval systems for embeddings, etc.

• Prior experience in regulated or high-sensitivity environments (e.g., government, defense, healthcare).
• Knowledge of RAG (Retrieval-Augmented Generation) pipelines or multi-agent architecture.
• Integrate RPA solutions with cloud AI services, data sources, and mission applications
• Experience with agent frameworks and interoperability standards, including MCP, A2A, and Lang Serve.
• Proficiency in designing cloud-native applications with portability across environments (Azure, Google Cloud, on-premises).
• Familiarity with observability/monitoring tools and practices (logging, metrics, alerting).
• Experience with cloud-native security services in Azure/Google (IAM, policies, encryption, network segmentation).
• Experience in model governance, data privacy, bias…