Jobs via Dice

Jobs via Dice

Senior Applied AI Engineer

Chantilly, Virginia, USFull-timeTodayvia LinkedIn

Job description

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ampcus Inc, is seeking the following. Apply via Dice today!

Job Title: Senior Applied AI Engineer Agentic AI / DevSecOps Modernization

Job Type: Full-Time

Location: McLean, VA / Chantilly, VA

What we re looking for:
• Strong experience with Generative AI, LLM-based applications, and agentic AI frameworks
• Solid foundation in traditional AI / machine learning techniques and practical application
• Experience building production-ready AI solutions, not just prototypes
• Familiarity with DevOps / DevSecOps environments, software delivery workflows, and enterprise systems
• Strong skills in Python, APIs, automation, and cloud-based AI architectures
• Experience with AI patterns such as RAG, tool/function calling, orchestration, structured outputs, and workflow automation
• Ability to work across engineering, platform, security, and business teams to translate problems into scalable AI solutions
• Understanding of enterprise needs around security, governance, explainability, observability, and reliability

Preferred experience:
• AWS, Azure, or Google Cloud Platform AI/ML services
• LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
• CI/CD, platform engineering, workflow automation, and secure SDLC practices
• Monitoring, evaluation, and operationalization of AI systems in enterprise settings

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Qualifications

  • Strong experience with Generative AI, LLM-based applications, and agentic AI frameworks
  • Solid foundation in traditional AI / machine learning techniques and practical application
  • Experience building production-ready AI solutions, not just prototypes
  • Familiarity with DevOps / DevSecOps environments, software delivery workflows, and enterprise systems
  • Strong skills in Python, APIs, automation, and cloud-based AI architectures
  • Experience with AI patterns such as RAG, tool/function calling, orchestration, structured outputs, and workflow automation
  • Ability to work across engineering, platform, security, and business teams to translate problems into scalable AI solutions
  • Understanding of enterprise needs around security, governance, explainability, observability, and reliability

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