Overview In this role you lead the design and delivery of enterprise-grade AI/ML applications leveraging Claude and agentic AI, guiding integrations into large-scale systems. You'll ensure robust, secure, and scalable solutions that align with the company's technical strategy and governance. You will work with cross-functional teams to modernize platforms and accelerate client outcomes through AI-driven innovation. This opportunity lets you shape production-grade AI infrastructure at scale within a consulting environment.
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)
