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AI Architect Lead Advisor

Kasmo Inc.Worcester, MA🇺🇸United StatesPosted 6 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Description:
Position: AI Architect Lead Advisor
Location: Worcester Massachusetts- Remote also accepted.
Exp: 12+ Years
 
 
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
  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.
 

Skills

Docker
FastAPI
Flask
Microservices
SQL
NLP
Azure
Java
Kubernetes
LLM
Python

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