Koniag · 1 month ago
Artificial Intelligence (AI) Engineer
Huntsville, AL, USA
Full-time
Onsite
Mid, Senior Level
3+ years expKoniag 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. The role involves providing expert guidance on AI initiatives, leading research efforts, and collaborating with cross-functional teams to implement AI solutions in cloud environments.
Financial ServicesImpact InvestingWealth Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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 (DevSecOps), 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
Design data pipelines for ingestion, preprocessing, training, inference, monitoring
Monitor production systems: model drift, performance degradation, operational/logging/metrics, incident response
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
Qualification
Required
Active or Interim SECRET security clearance
Active CompTIA Security+ certification
B.S. in Computer Science, Engineering, Mathematics, or a related discipline
Strong proficiency in Python and AI/ML frameworks (e.g. PyTorch, TensorFlow, 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 DevSecOps practices: vulnerability scanning, dependency management, secure coding, secrets management, encryption
Experience with Infrastructure as Code (e.g. Terraform, CloudFormation, Azure Resource Manager)
Proficiency with APIs / microservices (FastAPI, REST, GraphQL)
Knowledge of vector databases or retrieval systems for embeddings, etc
Preferred
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 LangServe
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 mitigation, fairness
Strong software engineering practices: code reviews, automated testing, version control workflows
Masters in AI, Machine Learning, or a closely related discipline is highly preferred
3-5 years' experience with AI implementations
Experienced with Cloud and System Engineering
Experience in Technical Writing for Policy and Planning Documentation
Experience with project roadmaps and planning and tracking multiple, disparate teams
Experience authoring and presenting Executive Level documentation and briefs
Benefits
Health, dental and vision insurance
401K with company matching
Flexible spending accounts
Paid holidays
Three weeks paid time off
Company
Koniag
Koniag was incorporated on June 23, 1972, to manage the land and financial assets on behalf of the corporation.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Ron Unger
Chief Executive Officer
Sharon Beeson
CFO
Recent News
2025-06-09
2025-03-27
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