AI Architect Lead Advisor

Job Title: AI Architect Lead Advisor

Location: Worcester, MA(Remote)

Type: Contract

Description:

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.