Applied AI Tech Lead - ACG / AEA
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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 proficiency and experience building production ML services and APIs. * Experience with ML frameworks (PyTorch, TensorFlow, scikit\-learn) and LLM integration patterns. * Hands\-on experience with cloud\-native architectures (AWS and/or Azure) * Experience integrating AI components into CI/CD pipelines (build, test, deploy). * Experience working in regulated or secured environments with audit and compliance requirements.
**Must have Skill Sets (Technical \+ Methodologies)**
RAG Architecture (hands\-on experience)
* Embeddings (OpenAI, HF, or similar) * Vector databases (Pinecone, OpenSearch, FAISS, or equivalent) * Retrieval tuning (top\-k, re\-ranking, grounding strategies)
LLM Integration Patterns
* Prompt engineering with versioning/control * Context window optimization * Guardrails and response validation
Model Lifecycle Management
* Model versioning and registry concepts * Evaluation frameworks (precision/recall, relevance scoring) * Drift detection and performance monitoring
Cloud\-Native Architecture (must be hands\-on)
* AWS (Lambda, S3, Bedrock/SageMaker) and/or Azure (ML, Functions, Storage) * Secure service\-to\-service integration patterns * API\-first design
DevSecOps Integration
* CI/CD pipelines (Azure DevOps, Git\-based workflows) * Automated testing for ML systems * Deployment strategies (blue/green, rollback)
Data \+ ML Pipeline Integration
* End\-to\-end flow: ingestion to transformation to embedding to retrieval to inference. * Handling structured \+ unstructured data in production systems.
Security \& Governance Implementation
* PII/CUI handling\-in pipelines * Audit logging and traceability design * Access control patterns for ML systems
System Design for Enterprise Workflows
* Event\-driven and microservices architecture * Integration into existing systems (e.g., Salesforce, ticketing systems) * High \- availability / low \- latency design
**Total Rewards Statement**
We believe in fairness and clarity throughout our hiring process. The anticipated salary range for this position is **$160,000\.00 to $170,000\.00 USD**. This is a good\-faith range based on factors such as your experience, geographic location, and any applicable contractual requirements, and may vary slightly.
Beyond salary, we provide a robust benefits package and encourage ongoing professional development, because your growth and well\-being matter to us. We’re excited to support you in building a rewarding career with us!
**Connected Logistics** respects the need for confidentiality for all applicants.
**Connected Logistics** offers an excellent benefits package that includes health, dental, vision, life, and disability insurance, a great 401(k) package, and generous Paid Time Off.
**EOE/Disability/Veterans**
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