Artificial Intelligence Engineer - 12 Months Contract
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Key skills for this role
Role Overview
Design, build, and operate production-grade AI agents on Microsoft Foundry.
Develop pro-code, LLM-powered systems that reason, use tools, and orchestrate workflows against enterprise data and services.
Work with Product, Data Science, and Architecture teams to move agent use cases from prototype to production.
Key Skills for This Role
Full Job Posting
Role Overview
Design, build, and operate production-grade AI agents on Microsoft Foundry.
Develop pro-code, LLM-powered systems that reason, use tools, and orchestrate workflows against enterprise data and services.
Work with Product, Data Science, and Architecture teams to move agent use cases from prototype to production.
AI Agent Development
- Build and deploy AI agents on Microsoft Foundry using agent frameworks, model catalogues, and tool or function calling.
- Integrate agents with Palantir Foundry through Model Context Protocol to retrieve data and execute Ontology actions.
- Implement retrieval, memory, and multi-agent orchestration patterns in Python.
- Build evaluation harnesses and guardrails for groundedness, safety, cost, and latency.
Productionization
- Apply prompt engineering, structured outputs, retrieval-augmented generation, and grounding techniques.
- Operate agents in production with observability, tracing, cost monitoring, regression testing, and incident response.
- Manage versioning of prompts, tools, and agent configurations alongside code.
Azure and Platform Integration
- Integrate Azure OpenAI, AI Search, Storage, Functions, Container Apps, Key Vault, and Entra ID.
- Build and maintain CI/CD pipelines with automated evaluations as release gates.
- Implement authentication, authorization, secret management, and secure data-handling patterns.
Collaboration
- Translate agent use cases into delivery plans with Product Managers, Data Scientists, and IT Architects.
- Communicate model, latency, cost, and accuracy trade-offs to technical and non-technical stakeholders.
- Champion reusable agentic patterns across the engineering organization.
Qualifications
- Production experience building LLM-based or agentic systems with tool use, orchestration, retrieval-augmented generation, and evaluations.
- Bachelor’s degree in computer science, engineering, or a related quantitative field.
- Strong Python skills with typed, tested, asynchronous, and modern packaged code.
- Experience building production AI agents using Microsoft Foundry, Azure AI Foundry, or equivalent frameworks.
- Experience with Azure AI services, LLM application patterns, evaluation frameworks, and observability.
- DevOps fundamentals including Git, CI/CD, containers, and infrastructure as code.
- Advanced degrees and Microsoft Foundry experience are preferred.
- Experience in agile or start-up environments and exposure to data engineering or vector stores are preferred.
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