AI Architect Lead Advisor

Description:
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.
Hybrid (Twice in a week) for local candidates. Remote can be accepted.
Key Responsibilities
Design, develop, and enhance Java-based backend services for AI/ML workflows.
Troubleshoot and debug complex issues across application, integration, and production environments.
Own production support activities, including incident response, root cause analysis, and post-incident improvements.
Improve reliability, performance, and observability (logging, tracing, metrics, alerting).
Build and optimize LLM/GenAI integrations (prompt orchestration, response quality, cost/performance trade-offs).
Implement robust testing (unit, integration, regression) and ensure code quality through reviews and standards.
Collaborate with business, product, and operations teams to prioritize enhancements and fixes.
Support CI/CD pipelines, release processes, and environment stability.
Document architecture, troubleshooting guides, and production runbooks.
Mentor junior developers and drive engineering best practices.
Hands-on experience building and supporting production-grade APIs/microservices (e.g., FastAPI/Flask).
Experience with AI/LLM-based applications (prompt design, orchestration frameworks, model integration).
Strong debugging skills in distributed systems and asynchronous workloads.
Experience with cloud platforms (preferably Azure) and containerized deployments (Docker/Kubernetes).
Strong knowledge of SQL/NoSQL data handling and API integration patterns.
Familiarity with observability tools (structured logs, tracing, monitoring dashboards, alerts).
Experience with automated testing frameworks and CI/CD workflows.
Excellent communication skills and ability to work in a support-heavy, fast-moving environment.
Preferred Qualifications
Python is good to have
Experience in underwriting/insurance, document extraction, or NLP pipelines.
Exposure to vector search, RAG, semantic retrieval, and model evaluation.
Experience with secure coding, data privacy controls, and compliance-driven systems.
Prior on-call/production support ownership in enterprise systems.
Skills:
Application Integration, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Cloud Computing, Code Reviews, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Debugging Skills, Docker, Establish Priorities, Identify Issues, Incident Response, Information/Data Security (InfoSec), Insurance Documentation, Insurance Underwriting, Integration Testing, Java, Maintain Compliance, Mentoring, Microsoft Windows Azure, Natural Language Processing (NLP), NoSQL, On Call, Privacy Controls, Production Support, Production Systems, Python Programming/Scripting Language, Regression Testing, Reporting Dashboards, Root Cause Analysis, SQL (Structured Query Language), Secure Coding, Software Design, Test Harness, Unit Test

Kasmo Inc