Lead Architect with Anthropic Experience

Responsibilities: Integrate and fine-tune LLMs and AI/ML models into enterprise applications Develop deployment, inference, and monitoring strategies for production performance and reliability Collaborate with enterprise architects to align AI solutions with overall technical strategy and standards Design and deploy cloud-native applications on hyperscaler platforms (AWS, Azure, GCP) using containers, serverless, and managed databases Ensure security of AI/ML systems addressing data privacy, model poisoning, and adversarial threats Apply architect and agentic design patterns to build resilient, maintainable software Lead and coordinate projects/workstreams to deliver outcomes for clients

Key requirements: 8+ years as a Solution or Application Architect focusing on application development 8+ years hands-on experience in Java, .NET or Python Hyperscaler architect certifications (AWS/Azure/GCP) 6+ years delivering production AI/ML solutions including 1+ year Generative AI/Agentic AI systems 3+ years developing AI/ML applications in Python, Java or .NET 1+ year designing/implementing production agentic workflows (orchestration, tool integration, state mgmt, guardrails, human-in-the-loop) 1+ year developing/ deploying production solutions using Claude models 1+ year applying prompt engineering and related techniques to improve AI performance 1+ year leading project workstreams translating business problems into AI solutions Bachelor’s degree in technical field or equivalent experience Ability to travel ~50% Legally authorized to work in the United States without sponsorship Independent work capability Strong written and verbal communication Attention to detail and quality LLM and AI/ML model integration into enterprise apps Production deployment, inference, and monitoring strategies Cloud-native design on hyperscalers (AWS, Azure, GCP)