Responsible for converting, developing, maintaining, validating, and publishing technical manuals in accordance with applicable Army Military Standards.
Responsibilities
Convert and digitize technical manuals into XML/SGML-based electronic formats
Use UltraEdit macros to transform PDF and legacy content into structured XML/SGML
Code, edit, and troubleshoot XML and SGML
Develop, maintain, and validate technical publications using PTC Arbortext and IADS 4.x
Review and reorganize technical content for consistency and compliance
Responsible for maintaining user and system uptime on Thales InFlyt Experience’s Ground System, leading technical operations, monitoring, and incident management.
Responsibilities
Maintain Windows Server and web-based application monitoring
Identify, document, and troubleshoot network, systems, applications and cloud issues
Design, implement, and maintain monitoring systems using Datadog
Collaborate with cross-functional teams to improve operational processes
Oversee configuration and management of GitLab, Terraform, and other DevOps tools
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Certified Kubernetes Administrator (CKA)
Nice to have: Experience with virtualization environments such as VMware and AWS EC2
Nice to have: Experience with Azure and Azure Active Directory
Nice to have: Experience with satellite-based network connectivity
Responsible for maintaining user and system uptime on Thales InFlyt Experience’s Ground System, leading technical operations, monitoring, incident management, and customer support.
Responsibilities
Maintain Windows Server and web-based application monitoring
Identify, document and troubleshoot network, systems, applications and cloud issues
Manage incident and problem management for the Ground System
Assist with technical documentation and operational procedures
Design, implement and maintain monitoring systems using Datadog
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Nice to have: Certified Kubernetes Administrator (CKA)
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
Responsibilities
Design and develop high quality, secure, scalable software solutions based on technical requirements specifications and design artifacts within expected time and budget.
Work closely with Product Owners to develop beautiful, usable UIs and creative visualizations.
Stay abreast of latest on the technology trends and industry best practices to hone and maintain your talent.
Participate in architectural discussions, iteration planning, and feature sizing meetings.
Develop code of high quality with customer focussed approach.
Design and own the architecture for deploying and operating AI capabilities at scale, including APIs and MCP servers that enable integration with products, agents, and applications.
Develop high-performance Python backend services for LLM inference orchestration, async job handling, streaming responses, and distributed data workflows supporting high-throughput operations.
Establish robust LLMOps and MLOps pipelines on Databricks (AWS) using MLflow, feature stores, prompt evaluation frameworks, model lineage tracking, and continuous retraining workflows to ensure reliable AI delivery.
Apply traditional ML and statistical modeling (regression, clustering, forecasting, ensemble methods) in hybrid architectures alongside LLMs for interpretable, explainability-first decision systems.
Translate R&D outcomes into scalable, reliable production solutions, collaborating with researchers to integrate and validate new models and techniques while optimizing inference latency, throughput, and cost without compromising output quality.
Requirements
Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering
Seeking an experienced Software Developer with expertise in Microsoft Copilot Studio, C#/.NET, and Microsoft Azure to design, develop, and integrate AI-powered agents and business automation solutions.
Locations (2)
Ho Chi Minh City, Ho Chi Minh City, Vietnam
Danang, Danang, Vietnam
Responsibilities
Design, develop, configure, test, and maintain AI agents using Microsoft Copilot Studio to support business processes and enterprise productivity.
Build and maintain applications and backend services using C# and the .NET Framework/.NET Core.
Integrate Copilot Studio agents with RESTful APIs, enterprise applications, databases, and approved business data sources.
Develop conversational experiences and agent workflows that address business requirements and improve operational efficiency.
Implement workflow automation and business process integrations using Microsoft Power Platform and Power Automate, where appropriate.
Enterprise AI Architect responsible for designing, developing, and securing large-scale AI and software solutions, leading architecture, full-stack development, and DevSecOps practices.
Responsibilities
Lead architecture, design, and implementation of enterprise-scale AI solutions
Define enterprise AI reference architectures and engineering standards
Drive adoption of Agentic AI and intelligent automation
Architect secure AI platforms with governance and compliance
Lead development teams in modern engineering practices
Enterprise AI Architect with Full Development Experience (FDE) possessing expertise in architecture, hands-on software engineering, AI-assisted development, Agentic AI frameworks, DevSecOps, cloud-native solutions, and enterprise data platforms.
Locations (2)
Eden Prairie, Minnesota, United States
Aurora, Illinois, United States
Responsibilities
Lead the architecture, design, and implementation of enterprise-scale AI solutions using modern architectural patterns, clean architecture principles, domain-driven design (DDD), and cloud-native technologies.
Define enterprise AI reference architectures, engineering standards, development frameworks, and implementation guardrails to ensure scalability, maintainability, security, and operational excellence.
Drive adoption of Agentic AI, AI-powered software engineering, and intelligent automation across the software deliverylifecycle.
Architect solutions with built-in observability, resilience, governance, security, and compliance from inception through production deployment.