FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAzureCloud
About the role
Key responsibilities & impact- Design and architect AI-driven applications and enterprise integrations
- Lead development of retrieval-augmented generation and LLM-based workflows
- Define engineering standards, code quality practices, and review processes
- Support monitoring, evaluation, and continuous optimization of deployed models
- Operate in a fast-evolving environment with ambiguous requirements
- Balance speed of delivery with long-term architectural soundness
- Partner closely with the AI Delivery Manager to align technical execution with business priorities
- Own and guide technical and architectural decisions across AI systems, cloud infrastructure, and enterprise integrations
- Drive hands-on development and ensure delivery of production-ready AI systems
Requirements
What you’ll need- Required experience delivering AI/ML or data products into production environments
- Strong understanding of system architecture (APIs, data pipelines, cloud platforms)
- Proven ability to lead technical direction and mentor engineers
- Experience building solutions aligned to measurable business outcomes
- Preferred experience with Azure AI services, Microsoft AI Foundry (Azure AI Studio), vector databases, or LLM-based systems
- Familiarity with MLOps practices
- Experience in consulting or enterprise environments
Benefits
Comp & perks- extensive medical insurance coverage
- disability insurance
- life insurance
- continuing education benefits
- paid time off
- employee assistance program
- retirement savings plan with company matching contributions
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI-Driven Application DesignEnterprise IntegrationRetrieval-Augmented GenerationLLM-Based WorkflowsCode Quality PracticesData PipelinesAPIsCloud PlatformsProduction-Ready AI SystemsContinuous Optimization
Soft Skills
MentoringCollaborationAdaptabilityProblem-Solving
