Technical Leadership & AI Platform Architecture

• 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.

• 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