DevSecOps and SRE AI/ML

Job Title: DevSecOps and SRE AI/ML Type: Fulltime Location: Charlotte, NC (Onsite) Experience: 8+ years Salary: $120k + Benefits Job Description Must Have Technical/Functional Skills: 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systemsPython (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector searchExperience building AI pipelines — model orchestration, token management, confidence scoring, intelligence buildoutsAWS fundamentals — ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridgeCI/CD pipeline experience — GitLab CI (or similar), environment managementExperience mentoring or leading offshore engineersStrong verbal and written communication Nice to HaveExperience building internal engineering platforms or cognitive/AI platformsDynatrace or similar APM (DQL queries, alerting, SLOs)Terraform for infrastructure-as-codeSecurity engineering — SAST/DAST, container scanning, IAM policy designFinancial services / regulated environment experienceClaude Code, GitHub Copilot, or AI-assisted development workflowsEvent-driven architectures (EventBridge, SQS, SNS) Production on-call sre experience Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | Ally AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search | Claude Code/Codex/Gemini/DeepSeek | Roles & Responsibilities: AI & Cognitive Engineering (70%)Build and extend internal platform featuresPython backend (FastAPI) and React frontendDevelop AI automationLLM integrations, prompt engineering, self-heal pipelines, knowledge retrievalLead technical design for new cognitive capabilities COG scoring, DELTA analytics, proactive monitoringBuild observability for AI systems token budgets, model accuracy, drift detection, confidence scoring.Design and implement RAG pipelines embeddings, vector search, knowledge ingestion, semantic retrievalContribute to Guild Commons skills, agents, hooks shared across the organizationDrive adoption of AI tooling (Claude Code) across the team; support Tier 1/Tier 2 enablementPioneer self-heal automation detection, decision, approval, and remediation pipelinesMentor offshore engineers on AI patterns, prompt engineering, and architectural decisionsDevSecOps & Infrastructure (15%) - Support CI/CD pipelines — troubleshoot build failures, optimize stages, manage environment promotionsManage AWS infrastructure as needed — ECS services, Lambda functions, DynamoDB, IAMSupport production incident response during US business hours when on rotationMaintain Terraform configurations; review infrastructure changesRelease Management & Quality (15%)Support releases across environments (CIT → UAT → CAP → PSP → PROD)Contribute to quality gates — automated testing, coverage enforcement, static analysisSupport ServiceNow change records and Jira workflows as needed - Generate release metrics