Find Jobs

Find Jobs Near You – Available Work in Your Location

Technology

Artificial Intelligence Engineer

Homestead, PA

Find & Apply For Artificial Intelligence Engineer Jobs in Homestead, Pennsylvania

Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.

Skip to job details

Now viewing: Generative AI Engineer

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

EXL

Generative AI Engineer

Pay: Not specified

Posted: 3 days ago

Location: Homestead, PA (Hybrid)

Last Updated: 19 hours ago

Hours: Full-Time

Expires: 11/3/2026

See Job Scorecard

Review key factors to help you decide if the role fits your goals.

How is this calculated?

Pay Growth

out of 5

Not enough data

Not enough info to score pay or growth

Job Security

out of 5

Not enough data

Calculating job security score...

Total Score

out of 100

Average of individual scores

Were these scores useful?

Job Description

Generative AI Engineer at EXL Generative AI Engineer at EXL in Homestead, Pennsylvania Posted in about 10 hours ago.

Type:

full-time

Role :

Sr. AI Engineer with Semantic Kernel + Microsoft Agent Framework exp. ( Azure AI)

Location :

Pittsburgh, PA Work Type :

Hybrid work setup (2-3 days a week work from office)

Hire Type :

Full-Time with

EXL Experience :

Years Job Requirement:

Migration Context

Must Have Knowledge Search is a containerized, enterprise-grade RAG platform on Azure AI Services with a Django/Python, deployed on OpenShift.

Semantic Kernel is the current orchestration layer, and the SK ? MS Agent Framework migration is a Q3 '26 roadmap item that unblocks Agentic Workflows and the Control Panel. The refactor re-platforms SK Native Plugins, Function Calling, Prompt Templates, Memory/Chat History, and Planners/Agents onto the Agent Framework's agents/workflows model.

Must-Have Skills:

Semantic Kernel + Microsoft Agent Framework

hands-on experience refactoring SK plugins, planners, function calling, and memory to Agent Framework agents/workflows (this is the critical, hardest-to-source skill) Python / Django
to rebuild the orchestration layer without breaking existing API contracts, RBAC, and permissions Azure AI Services / RAG
Azure AI Search (hybrid retrieval, semantic ranking), Azure OpenAI (inference + embeddings), preserving retrieval, reranking, prompt assembly, and citation paths 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) The single most differentiated requirement is combined hands-on Semantic Kernel and Microsoft Agent Framework experience paired with Python/Django, since that is the exact intersection where the refactor happens.

The remaining skills (Azure AI Search, RAG, OCP, observability) align with what the team already runs today.