oracle
AI Architect
EXL
Pittsburgh, USA
Senior · 8+ years experience
Hybrid
USD 140000-160000 / year
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azuredjangogitopenaiopentelemetrypython
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azuredjangogit
About the Role
We are looking for an AI Architect with deep hands-on expertise in building and modernizing enterprise-grade GenAI/RAG platforms on the Microsoft Azure ecosystem. The role involves architecting agentic AI solutions and evolving LLM orchestration layers on modern agent frameworks, working with containerized, production-scale environments.
Key Skills for This Role
azuredjangogitopenaiopentelemetrypython
Full Job Posting
Responsibilities
- High-Priority Skills
- Model Context Protocol (MCP) — for tool/connector integration and the Intelligence Layer channel
- OpenShift / containerization — to deploy migrated microservices on OCP
- Observability & Evaluation — Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parity
- GitHub / CI-CD / DevSecOps — PR-based workflows and vulnerability remediation
- Medium-Priority Skills
- Redis Enterprise (caching/session state) and Azure APIM (gateway, rate limiting).
- High-Priority Skills - Model Context Protocol (MCP) — for tool/connector integration and the Intelligence Layer channel - OpenShift / containerization — to deploy migrated microservices on OCP - Observability & Evaluation — Arize Phoenix + OpenTelemetry instrumentation, agent/agentic-system registration, and RAG quality/eval validation to confirm parity - GitHub / CI-CD / DevSecOps — PR-based workflows and vulnerability remediation - Medium-Priority Skills - Redis Enterprise (caching/session state) and Azure APIM (gateway, rate limiting).
Qualifications
- Graduate in Computer Science. 8+ years of experience in data engineering or related field.
- Base Compensation Range: $140,000- $160,000
- The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
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