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Skills and signals

APIAWSAzureDataDevopsGoSalesforceremote

Job description

Applied AI Tech Lead - ACG / AEA at LOGC2

Contingent Contract Award 6 month opportunity Remote Springfield, VA Connected Logistics is seeking Applied AI Tech Lead to be the technical authority over AI/ML architecture, integration, and governance within a controlled DevSecOps environment. The AI Tech Lead will own design and implementation of retrieval-augmented generation(RAG), model lifecycle management, and secure integration of AI capabilities into enterprise workflows and pipelines. Key

Responsibilities

: Architect end-to-end AI/ML solutions, including RAG pipelines, embedding strategies, vector indexing, and inference workflows. Define and implement model lifecycle controls: versioning, evaluation, audit logging, traceability, and rollback. Design secure integration patterns across AWS, Azure, Salesforce, and Azure DevOps. Establish governance aligned to RMF constraints, including PII/CUI handling, prompt control, and usage auditing.

Define model evaluation frameworks (precision/recall, relevance scoring, latency, SLA adherence). Implement monitoring for model performance, drift detection, and data quality degradation. Oversee CI/CD integration for model deployment, retraining, and rollback. Lead root-cause analysis and triage automation architecture (classification, similarity search, SLA prediction). Review and enforce coding standards for ML pipelines, APIs, and data flows.

Mentor engineers and direct technical execution across data, model, and integration layers. ATS provider: Paylocity.