Sr. AI/ML Engineer – GenAI & Cognitive Platforms

Our Client, an IT Services and Consultant company, is looking for a Sr. AI/ML Engineer – GenAI & Cognitive Platforms for their Charlotte, NC /Hybrid location.
 
Responsibilities:

• You will spend the majority of your time building AI-powered capabilities on internal platforms — our cognitive layer that is transforming how engineering teams operate.
• The remaining time supports production infrastructure and release processes, ensuring you stay grounded in the systems your AI work automates.
• This role requires a strong AI/ML engineering mindset with enough operational context to build effective automation.

• 10+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems
• Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)
• Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector search
• Experience building AI pipelines — model orchestration, token management, confidence scoring, intelligence buildouts
• AWS fundamentals — ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge
• CI/CD pipeline experience — GitLab CI (or similar), environment management
• Experience mentoring or leading offshore engineers
• Strong verbal and written communication Nice to Have
• Experience building internal engineering platforms or cognitive/AI platforms
• Dynatrace or similar APM (DQL queries, alerting, SLOs)
• Terraform for infrastructure-as-code
• Security engineering — SAST/DAST, container scanning, IAM policy design
• Financial services / regulated environment experience
• Claude Code, GitHub Copilot, or AI-assisted development workflows
• Event-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
• 12+ years of software engineering experience, with 4+ years in AI/ML or LLM-based systems Python (FastAPI, Pydantic, boto3) and TypeScript (React, Node.js)
• Strong AI/ML experience — LLM APIs, prompt engineering, RAG architectures, embeddings, vector search Experience building AI pipelines
• model orchestration, token management, confidence scoring, intelligence buildouts AWS fundamentals
• ECS/Fargate, Lambda, DynamoDB, IAM, CloudWatch, EventBridge CI/CD pipeline experience —
• GitLab CI (or similar), environment management Experience mentoring or leading offshore engineers Strong verbal and written communication Tech Stack Python | FastAPI | React | TypeScript | Tailwind CSS | AWS (ECS, Lambda, DynamoDB, S3, EventBridge, IAM, etc.,) | Terraform | GitLab CI | Docker | Dynatrace | Jira/Confluence APIs | ServiceNow | AI Gateway (GPT/Claude) | RAG/Embeddings | Vector Search Experience building internal engineering platforms or cognitive/AI platforms Dynatrace or similar APM (DQL queries, alerting, SLOs) Terraform for infrastructure-as-code Security engineering
• SAST/DAST, container scanning, IAM policy design Financial services / regulated environment experience Claude Code, GitHub Copilot, or AI-assisted development workflows Event-driven architectures (EventBridge, SQS, SNS) Production on-call sre experience
• Years of Experience:   10+ Years of Experience

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities