AI Architect Lead Advisor

Role : AI Architect Lead Advisor

Location : Remote Working

We are looking for an AI architect senior Python & AI resource to enhance, debug, and support our production AI applications.

This person will work across backend services, LLM-driven workflows, and cloud infrastructure to deliver reliable, scalable, and secure solutions.

Key Responsibilities

1. Design, develop, and enhance Java-based backend services for AI/ML workflows. 
2. Troubleshoot and debug complex issues across application, integration, and production environments.
3. Own production support activities, including incident response, root cause analysis, and post-incident improvements.
4. Improve reliability, performance, and observability (logging, tracing, metrics, alerting).
5. Build and optimize LLM/GenAI integrations (prompt orchestration, response quality, cost/performance trade-offs).
6. Implement robust testing (unit, integration, regression) and ensure code quality through reviews and standards.
7. Collaborate with business, product, and operations teams to prioritize enhancements and fixes.
8. Support CI/CD pipelines, release processes, and environment stability.
9. Document architecture, troubleshooting guides, and production runbooks.
10. Mentor junior developers and drive engineering best practices.
11. Hands-on experience building and supporting production-grade APIs/microservices (e.g., FastAPI/Flask).
12. Experience with AI/LLM-based applications (prompt design, orchestration frameworks, model integration).
13. Strong debugging skills in distributed systems and asynchronous workloads.
14. Experience with cloud platforms (preferably Azure) and containerized deployments (Docker/Kubernetes).
15. Strong knowledge of SQL/NoSQL data handling and API integration patterns.
16. Familiarity with observability tools (structured logs, tracing, monitoring dashboards, alerts).
17. Experience with automated testing frameworks and CI/CD workflows.
18. Excellent communication skills and ability to work in a support-heavy, fast-moving environment.

Preferred Qualifications

Python is good to have 

1. Experience in underwriting/insurance, document extraction, or NLP pipelines.
2. Exposure to vector search, RAG, semantic retrieval, and model evaluation.
3. Experience with secure coding, data privacy controls, and compliance-driven systems.
4. Prior on-call/production support ownership in enterprise systems.