Lead AI Cloud Engineer
Core
Design, build, deploy, and support enterprise AI solutions and full-stack applications for the Digital Coworkers ecosystem and Generative AI Foundation Platform.
Role type
Lead AI Cloud Engineer (Full Stack)
Builds
Scalable, secure, governed AI-powered business solutions, microservices, and cloud-native infrastructure.
Domain
Financial Services / Enterprise AI / Cloud Engineering
Deliverable
production ML models
Required skills
Full stack application development, Cloud engineering (Azure), API design, Microservices, Distributed systems, Infrastructure as Code (Terraform), CI/CD pipelines, LLM integration, RAG solutions, AI agents, Workflow automation, Vector databases, Prompt engineering, Enterprise security controls.
Preferred skills
Microsoft AI services, Digital Coworkers platforms, Azure OpenAI, Agentic AI, Financial services domain experience, Enterprise AI governance, Snowflake/Databricks, ServiceNow integration.
Technologies
Microsoft Azure, Terraform, GitHub, Azure DevOps, Jira, Confluence, Microsoft Teams, ServiceNow, Power BI, Vector databases, LLMs, RAG frameworks.
Responsibilities
Design and develop full stack applications and APIs; Build AI-powered business solutions leveraging GAI platforms; Integrate applications with LLMs and AI agents; Design and deploy cloud-native solutions using IaC; Implement monitoring, logging, and resiliency practices; Promote software engineering best practices and documentation.
Seniority
Senior, hands-on IC with leadership competencies