Senior Principal Agentic Platform Engineer

V2X is seeking a Senior Principal Agentic Platform Engineer to lead the design and delivery of a multi cloud enterprise infrastructure for agentic (autonomous goal oriented) AI solutions. You will architect and implement secure compliant and scalable platforms across AWS Azure and Google Cloud (GCP) that power mission critical systemsintegrating LLM orchestration retrieval augmented generation (RAG) and multi agent workflows with strong observability automation and reliability.
In this role you will:

• Own endâtoâend platform architecture for agentic workloads (cloud edge onâprem) balancing performance cost and compliance.
• Establish Infrastructure as Code (IaC) multiâcloud patterns service mesh and API gateways for repeatable auditable deployments.
• Implement securityâbyâdesign aligned to NIST RMF FedRAMP CMMC 2.0 STIG and CIS Benchmarks applying Zero Trust principles and driving assessment/ATO readiness.
• Integrate cloudâmanaged AI services (e.g. Azure OpenAI Amazon Bedrock Google Vertex AI) and agent orchestration with RAG pipelines vector databases and event streaming.
• Lead crossâfunctional teams (data science software security DevOps) to deliver resilient platforms SLAs/SLOs and continuous improvements.
• Serve as a technical leader and customerâfacing expert translating program requirements into measurable platform capabilities and riskâmanaged roadmaps.

Required Skills:

• 12 years in cloud/platform engineering with 5 years leading complex production systems; 2 years building infrastructure for LLM/agentic applications (e.g. prompt routing model serving guardrails evaluation pipelines).
• Demonstrated expertise across AWS Azure and GCP: identity and access (IAM/Entra/Cloud IAM) networking storage compute (including GPU scheduling) and managed AI services (Azure OpenAI Amazon Bedrock Google Vertex AI).
• Container orchestration and multiâcluster patterns (e.g. Kubernetes); service mesh (e.g. Istio); API gateways; secret management (AWS KMS Azure Key Vault GCP KMS).
• IaC and automation (e.g. Terraform/Pulumi); CI/CD (e.g. GitHub Actions/GitLab CI/Azure DevOps); policyâasâcode (e.g. OPA); configuration management.
• Security and compliance: NIST SP 800â53 RMF/ATO CMMC 2.0 FedRAMP STIG CIS Benchmarks vulnerability management SBOM/software supply chain.
• Knowledge and understanding of ServiceNow for IT management and work tracking.
• Data/AI integration: RAG pipelines vector stores (e.g. OpenAI Search Kendra Vertex AI Search ) event streaming (e.g. Kafka Pub/Sub EventBridge).
• Leadership: program execution risk and opportunity management stakeholder communication supplier oversight; ability to mentor engineers and lead multiâdisciplinary teams.

U.S. Citizen with ability to obtain a DoD Secret clearance (if program requires).

Desired Skills:

• Experience with agent frameworks orchestration patterns prompt operations guardrails and safety evaluators.
• Handsâon with Azure OpenAI Amazon Bedrock Google Vertex AI and openâsource LLMs (e.g. Llama Mistral); familiarity with relevant features in Gov/DoD cloud environments.
• Knowledge of graph data models symbolic reasoning or cognitive architectures for explainable agent behavior.
• Edge/tactical deployments (e.g. DoD IL2IL5 disconnected/denied environments) GPU operators/schedulers and multiâcloud cost optimization.
• Experience with DoD acquisition artifacts (RFP/SOW/BOE) trade studies/AoA and supporting ATO through RMF documentation and control evidence.

Education Requirements:

• Bachelors degree in Computer Science Electrical/Computer Engineering or a related STEM field.
• Advanced degree (M.S./Ph.D.) preferred in AI Systems or a related discipline.
• Equivalent professional experience in largeâscale cloud/platform or AI systems engineering may substitute for formal degree requirements.

Benefits include the following:

• Healthcare coverage
• Retirement plan
• Life insurance AD&D and disability benefits
• Wellness programs
• Paid time off including holidays
• Learning and Development resources
• Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company consistent with the terms of any applicable compensation or benefit plans.

Required Experience:

Staff IC