Lead Agentic AI Engineer for Autonomous Systems

V2X Inc

Indianapolis (IN)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Healthcare
Retirement plan
Life insurance
Wellness programs
PTO
Learning resources
Employee assistance

Job summary

V2X Inc in Indianapolis seeks a Principal Agentic AI Engineer to lead the design and implementation of advanced agentic AI architectures and autonomous decision-making systems within the Software Department. The role requires deep expertise in ML, data pipelines, and scalable AI deployments for mission-critical contexts.

The candidate will guide senior engineers, translate complex requirements into practical AI solutions, and ensure safety and reliability in AI-driven systems for DoD customers

Qualifications

  • Bachelor's degree in Computer/Electrical Engineering, CS or related STEM field.
  • U.S. Citizen with ability to obtain a DoD Secret Clearance.

Responsibilities

  • Lead design and integration of agentic AI architectures and autonomous decision-making systems.
  • Develop scalable AI pipelines, simulation frameworks, and experimentation environments.
  • Translate mission needs into technical system requirements and roadmaps.
  • Collaborate with DoD customers and international partners; communicate trade-offs clearly.

Skills

Agentic AI
Python
Autonomous systems
Data engineering
ML frameworks
System design
Communication
Cloud/Edge deployment
Mentorship

Education

Bachelor's degree in STEM

Tools

PyTorch
TensorFlow
JAX
LangChain

Job description

V2X Inc in Indianapolis seeks a Principal Agentic AI Engineer to lead the design and implementation of advanced agentic AI architectures and autonomous decision-making systems within the Software Department. The role requires deep expertise in ML, data pipelines, and scalable AI deployments for mission-critical contexts.

The candidate will guide senior engineers, translate complex requirements into practical AI solutions, and ensure safety and reliability in AI-driven systems for DoD customers

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