[Remote] Senior AI Systems & Applications Engineer
Note: The job is a remote job and is open to candidates in USA. Aligned Data Centers is seeking a versatile AI Solutions Architect to lead the design and implementation of their next-generation agentic AI ecosystem. The role involves bridging data engineering and application development while implementing secure, governed AI systems that integrate with enterprise data.
Responsibilities
- Design and deploy agentic and multi-agentic workflows using Azure AI Foundry, Semantic Kernel, or AutoGen
- Architect and manage data pipelines within MS Fabric OneLake, ensuring 'Gold' layer data is ready for RAG (Retrieval-Augmented Generation) and model fine-tuning
- Execute application and agent registration via MS Entra (formerly Azure AD), implementing OAuth flows and Managed Identities for secure tool access
- Configure and maintain MS Purview to ensure data lineage, sensitivity labeling, and AI safety guardrails are enforced across all LLM interactions
- Build and maintain MCP (Model Context Protocol) servers and custom tools to allow AI agents to interact securely with internal databases and third-party SaaS
- Build production-ready application interfaces (React/Next.js or Python-based frameworks) that integrate seamlessly with backend AI flows
Skills
- B.S./M.S. in Computer Science, Data Science, or a related field
- 5+ years' experience in Software Development, with at least 2+ years of dedicated focus on Generative AI and LLM integration
- Proven track record of moving an AI project from a 'notebook' prototype to a governed, production-scale enterprise application
- Understanding of the 'AI Red Teaming' concept and mitigating risks like prompt injection
- Deep expertise in Prompt Flow, model evaluation, and deployment of GPT-4o/o1 and SLMs (Phi-3)
- Experience with Lakehouses, Shortcuts, and integrating Fabric data with AI search indexes
- Implementation of data loss prevention (DLP) and sensitivity labels within AI-generated content
- Advanced knowledge of App Registrations, Service Principals, and Scopes for AI Agents
- Advanced techniques (Chain-of-Thought, ReAct, Few-shot) and prompt versioning
- Proficiency in building autonomous agents that can use tools, manage state, and collaborate (multi-agentic patterns)
- Experience implementing MCP servers to standardize how LLMs access local and remote data
- Languages: Python (FastAPI/LangChain/Semantic Kernel) and TypeScript/C#
- Expert-level use of VS Code / Cursor, GitHub Copilot, and Azure DevOps for CI/CD
- Infrastructure-as-Code (Bicep or Terraform) for deploying AI workloads
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
Benefits
- Medical, dental, and vision insurance
- HSA with employer contribution for eligible participants.
- FSA's offered for health and dependent care to increase tax savings.
- 401(k) plan with company match
- Paid Time Off and Holiday Pay
- Short-Term Disability, Life Insurance, and Long-Term Disability (with medical election)
- Voluntary life, critical illness, legal, and additional disability coverage
- Employee assistance program (EAP), Wellhub gym membership, and other wellness initiatives
Company Overview
Company H1B Sponsorship