Job DescriptionWe are seeking an experienced
AI Programmer Analyst to design, develop, and implement enterprise AI solutions that solve business challenges and improve operational efficiency. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Azure AI services, Python, and enterprise AI platforms.
Responsibilities- Design, develop, test, and deploy enterprise AI solutions
- Collaborate with business and technical teams to identify AI opportunities
- Evaluate and select appropriate AI models, frameworks, and architectures
- Develop prompts, AI workflows, agents, and retrieval strategies
- Integrate AI solutions with enterprise applications, APIs, and databases
- Monitor AI performance and recommend continuous improvements
- Ensure compliance with security, governance, privacy, and Responsible AI policies
- Document solution architecture, technical specifications, and implementation procedures
- Design AI-driven monitoring pipelines for servers, databases, and applications
- Build AI solutions for predictive analytics, automated incident remediation, and root cause analysis
- Stay current with emerging AI technologies and recommend best practices
Required Skills- Strong understanding of AI/ML concepts, model evaluation, and Responsible AI practices
- Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and prompt engineering
- Experience selecting and implementing AI models, frameworks, and enterprise AI solutions
- Hands-on experience with Azure AI, Microsoft Copilot Studio, Gemini Enterprise, and AI development platforms
- Strong Python programming experience with AI/ML libraries and frameworks
- SQL and data analysis experience
- Experience integrating AI solutions with enterprise systems, APIs, databases, and business applications
- Experience with cloud-based AI services and enterprise AI platforms
- Git, DevOps, CI/CD, and version control experience
- Experience designing, testing, deploying, monitoring, and optimizing AI applications
- Strong analytical, troubleshooting, and problem-solving skills
- Excellent communication and stakeholder management skills
QualificationsBachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, or a related field (or equivalent professional experience).
Additional Information- Experience applying AI/ML to IT Operations (AIOps)
- Predictive log analysis and anomaly detection
- Automated incident remediation
- Root cause analysis using AI
- Experience building AI-driven monitoring pipelines
- Knowledge of enterprise security, governance, privacy, and Responsible AI standards
