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# Technical Leadership & AI Platform Architecture

- **Company:** ScrumLink, Inc.
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Continuous Integration, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), Machine Learning, Reliability Engineering, Amazon Simple Notification Service (SNS), Software Engineering, TypeScript, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Amazon Virtual Private Cloud (VPC), Fastapi, Servicebus, Event Driven Architecture, AI Platforms, Gitlab-ci, Apache Kafka, Functional Programming, Api Design, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Dynatrace, Devsecops, Docker, Servicenow, Static Application Security Testing, Dynamic Application Security Testing
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/80015de5-9731-49f2-8f42-de4e7d944dfd

## About the Role

* 8+ years in Software Engineering
 * 3+ years in Senior/Staff Engineering roles
 * 2+ years building AI/ML or Generative AI solutions, * Python, FastAPI, React, TypeScript
 * AI/ML, LLMs, Prompt Engineering, RAG, AI Agents
 * AWS (ECS, Lambda, DynamoDB, IAM, VPC, CloudWatch, EventBridge)
 * CI/CD, GitLab CI, Docker, Terraform
 * Dynatrace, DQL, Jira, Confluence, ServiceNow
 * Strong architecture, production support, and SRE experience
 * Excellent communication and technical leadership skills

Preferred Skills

 * Enterprise AI platform development
 * AI Governance, Responsible AI, Model Evaluation
 * Event-driven architecture (Kafka, SQS, SNS, EventBridge)
 * Security engineering (IAM, SAST/DAST, container security)
 * AI coding tools (Claude Code, GitHub Copilot, Codex, Gemini)
 * Financial services or other regulated industry experience
 * Experience building internal developer platforms and AI engineering enablement

## Description

* Lead architecture and technical strategy for enterprise AI platforms and applications.
 * Drive engineering standards, design reviews, API design, scalability, and AI governance.
 * Build reliable, secure, and scalable cloud-native applications on AWS.
 * Lead production engineering, SRE, observability, incident management, and platform reliability.
 * Design and optimize CI/CD pipelines, DevSecOps practices, Infrastructure as Code (Terraform), and security controls.
 * Build AI platform capabilities including LLM orchestration, AI Gateway, RAG, prompt management, model evaluation, and AI agents.
 * Mentor engineers, lead cross-functional initiatives, and influence technical roadmaps.


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