Note: The job is a remote job and is open to candidates in USA. The confidential company is seeking an AI Engineer to build and deploy enterprise AI solutions. The role focuses on developing AI agents with Microsoft Copilot Studio and Claude, architecting secure private RAG applications, managing supporting data infrastructure, integrating enterprise systems, and enabling AI-driven business processes.
Responsibilities
- Design, build, and deploy AI agents using Microsoft Copilot Studio and Claude (Anthropic) for enterprise use cases
- Architect and implement private retrieval-augmented generation (RAG) applications using vector databases (e.g., Pinecone, Weaviate, Azure AI Search, Chroma) — covering ingestion, chunking, embeddings, retrieval, grounding, and evaluation
- Ensure private RAG deployments meet enterprise requirements for data isolation, security, and governance
- Partner with business, data, and product teams to translate requirements into working AI agent and RAG solutions
- Manage the underlying data layer — databases and pipelines — that supports agents and RAG applications
- Design and implement AI-enabled business processes from discovery and solution design through integration, testing, deployment, monitoring, and continuous improvement
- Where relevant, contribute to automation (RPA), machine learning, and front-end delivery workstreams
- Support enterprise AI governance initiatives by integrating AI solutions with internal systems, external platforms, APIs, workflow engines, data sources, and business applications to enable end-to-end business processes
Skills
- * Bachelor's degree in Information Technology, Computer Science, or a related field. Required
- * 3-5 years of AI agent development: Experience designing, building, and deploying AI agents using enterprise AI platforms such as Microsoft Copilot Studio and Claude (Anthropic). Experience with both platforms preferred. Required
- * 3-5 years of Private RAG Architecture: Hands-on experience developing retrieval-augmented generation (RAG) applications, including vector databases, embeddings, chunking strategies, retrieval optimization, evaluation frameworks, and secure deployment patterns. Required
- * 4-6 years of Data Engineering: Experience in database management and data engineering. Required
- * 3-5 years of Agent Orchestration: Experience designing multi-step, tool-enabled, and workflow-driven agents that interact with APIs, enterprise systems, knowledge bases, and approval workflows. Required
- * 3-5 years of experience implementing evaluation frameworks, observability tools, monitoring solutions, guardrails, and feedback mechanisms to assess AI solution quality, reliability, security, and business impact. Required
- * 3-5 years of strong Python development experience, including API integrations, automation, testing, data processing, and AI application development. Required
- * 3-5 years of experience with software development lifecycle practices, including Git, CI/CD, automated testing, DevOps methodologies, enterprise security controls, identity management, RBAC, secrets management, and secure deployment practices. Required
- * 3-5 years of Integration Engineering: Experience with REST APIs, webhooks, middleware, authentication protocols, and enterprise application integrations. Preferred
- * 2-4 years of experience with AI/ML concepts, Generative AI technologies, prompt engineering, and evaluation methodologies. Preferred
- * 2-4 years of experience deploying AI solutions in Azure cloud environments, including Azure AI Foundry, Azure AI Search, Azure OpenAI, Azure Functions, and related services. Preferred
- * 2–3 years of experience with Microsoft Power Platform solutions, including Power Automate, Power Apps, and workflow automation. Preferred
- * 2-3 years of experience developing web-based user interfaces using Angular, React, or similar frameworks. Preferred
- * 2-4 years of experience with AI orchestration and agent frameworks such as Semantic Kernel, LangGraph, LangChain, MCP, or similar technologies. Preferred
Benefits
- Remote: Yes
Company Overview