Applied AI Tech Lead - ACG / AEA

Description

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.

Requirements: * Minimum 10 years’ experience in AI/ML engineering, data science, or distributed systems development. * Master’s degree required (no exceptions) in Computer Science, Engineering, Mathematics, or related field. * Must have an Active Public Trust clearance or higher. * Must have been issued a CAC by another government client in the last 24 months. * Deep experience with RAG architectures (embeddings, vector DBs, retrieval optimization). * Strong Python profici...