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Alex Archer

@alexarcher

Senior Generative AI Engineer building production RAG and multi-agent systems for measurable ROI.

United States
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What I'm looking for

I’m looking to lead end-to-end GenAI/MLOps delivery—deploying RAG, autonomous agents, guardrails, and monitoring on Kubernetes/AWS—so teams ship reliable AI that reduces costs and improves outcomes.

I’m a Senior Generative AI Engineer with over 8 years of experience architecting production-grade LLM systems and multi-agent frameworks. I bring cutting-edge research—like PEFT, LangGraph, and MCP—into scalable MLOps environments on Kubernetes and AWS/Azure, with a focus on measurable business impact.

I’ve deployed enterprise-scale RAG pipelines and autonomous agents serving 10K+ daily users, cutting operational costs by 65% through intelligent orchestration. From building agent memory with DynamoDB, to production search with Pinecone, CI/CD with MLflow and zero-downtime Kubernetes rollouts, and enterprise guardrails on SageMaker endpoints, I ensure reliability, compliance (SOC 2 Type II, FedRAMP, HIPAA/SOX readiness), and auditability across the full AI lifecycle.

Experience

Work history, roles, and key accomplishments

NT
Current

Senior Generative AI Engineer

New Era Technology

Oct 2024 - Present (1 year 8 months)

Built multi-agent systems in LangGraph for end-to-end clinical document workflows, automating routing and decision-making. Deployed production RAG and guardrails that reduced AI errors ~30% and cut inference costs 20%, while serving 10K+ daily users.

IP

Machine Learning Engineer

Integrity Power

Mar 2021 - Sep 2024 (3 years 6 months)

Fine-tuned open-source models with LoRA adapters to match commercial API quality at lower per-request cost. Developed fraud-detection classifiers and PySpark feature engineering pipelines, improving model accuracy and reducing false positives.

RI

Data Scientist

Radical Imaging

Mar 2018 - Feb 2021 (2 years 11 months)

Built document scanning and text extraction pipelines using OCR to convert unstructured forms into searchable structured data. Developed TensorFlow image classification workflows and OpenCV preprocessing, and implemented Snowflake and Airflow-based ETL for scalable analytics-ready tables.

Education

Degrees, certifications, and relevant coursework

University of Dallas logoUD

University of Dallas

Master's in Business Intelligence & AI, Business Intelligence & AI

Pursuing a Master’s in Business Intelligence & AI at the University of Dallas (in progress).

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