Lead AI Solutions Delivery Engineer
Tasks
- Build containerized microservices
- Build data pipelines
- Capture field insights for product roadmap
- Create enterprise implementation toolkits
- Define customer workflows
- Deploy autonomous agents and workflows
- Design bespoke AI architectures
- Design distributed system architectures
- Develop deployment scripts and configuration patterns
- Enable partner ecosystem with deployment best practices
- Engineer prompts for LLM solutions
- Evaluate code for security and compliance
- Execute production deployment patterns
- Implement system context management repositories
- Integrate AI APIs and third party integrations
- Lead customer facing AI solution delivery
- Run technical demos trainings and workshops
- Translate business requirements into AI solutions
- Write code for AI enabled workflows
Perks/Benefits
- Compassionate care leave
- Health benefits
- Learning and development
- Paid parental leave
- Paid time off
- Retirement plans
Skills/Tech-stack
Autonomous Agents | C++ | Claude | Cloud | Compliance | Data Pipelines | Distributed Systems | Docker | GenAI | Java | LLM | MCP | Microservices | Microsoft Copilot | OpenAI | Orchestration | Prompt engineering | Python | REST APIs | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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