Serve as a subject‑matter expert for assigned applications, providing guidance, troubleshooting, and ongoing support.
Perform detailed research and analysis to support system enhancements and project releases.
Collaborate with business lines to understand requirements and recommend technology solutions.
Coordinate with internal and external resources to ensure smooth delivery and implementation of systems.
Assist in the design, development, and deployment of AI‑driven, cloud‑native applications using Azure AI services.
Utilize tools such as: Azure OpenAI Service for Large Language Models (LLMs)
Azure Cognitive Search for Retrieval‑Augmented Generation (RAG) architectures
Azure Machine Learning for model training and deployment
Azure App Services, Azure Functions, and Azure Logic Apps for application orchestration
Integrate LLMs into enterprise workflows with senior developers and architects, ensuring scalability, security, and responsible AI alignment.
Participate in prompt engineering, model fine‑tuning, and retrieval optimization to improve accuracy and relevance.
Support CI/CD pipelines using GitLab and Azure DevOps.
Monitor AI models and application health, addressing performance, compliance, and operational reliability.
Document AI architectures, RAG workflows, and best practices; contribute to internal knowledge sharing.

Requirements

Bachelor’s degree, or equivalent work experience
Three to five years of direct experience (with project lead experience), or five to eight years of related experience
Basic understanding of cloud computing concepts, Azure services, and AI/ML fundamentals
Familiarity with programming languages such as Python, C#, or JavaScript; experience with AI SDKs and REST APIs
Exposure to LLM integration, prompt engineering, and retrieval‑based AI systems
Knowledge of SQL, vector databases, and working with structured/unstructured data
Experience with Git and version control systems
Ability to work as part of a project team, with leadership and negotiation skills
Good organizational and analytical skills
Strong problem‑solving and communication skills
Willingness to learn and grow in a fast‑paced AI and cloud environment.

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-driven applicationscloud-native applicationsAzure AI servicesprompt engineeringmodel fine-tuningretrieval optimizationSQLPythonC#JavaScript

Soft Skills

leadershipnegotiationorganizational skillsanalytical skillsproblem-solvingcommunication skillscollaborationguidancetroubleshootingwillingness to learn

Certifications

Bachelor's degree