AI/Data Solutioning Engineer

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ProArch

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence • Cybersecurity • Cloud

ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges.

📋 Description

• Lead development of AI/Data solutions, accelerators, and reusable service offerings • Design and implement production-grade PoCs, MVPs, and scalable frameworks • Architect end-to-end solutions across data pipelines, storage, semantic models, and AI layers • Develop AI agents using Azure AI Foundry including orchestration, tool integration, and grounding • Implement advanced AI patterns including RAG and multi-agent workflows • Ensure solutions are scalable, secure, and governed (RBAC, monitoring, evaluation) • Drive reusable solution patterns and internal IP creation • Collaborate with delivery teams to transition solutions into production • Support pre-sales activities including workshops, proposals, and demos • Communicate solution value to both technical and business stakeholders

🎯 Requirements

• Strong experience in Data Engineering, AI Engineering, or Full-Stack Engineering • Expertise in Python/.Net, SQL, and distributed systems (Spark preferred) • Experience building large-scale data platforms and pipelines • Hands-on experience with Azure Data + AI ecosystem (Fabric, Synapse, Databricks) • Experience with LLMs, embeddings, vector search, and RAG architecture. • Experience with agent orchestration frameworks such as Semantic Kernel or LangChain or similar. • Strong solution architecture and design thinking capability • Expertise of observability practices including Application Insights/OpenTelemetry. • Ability to communicate clearly in written and verbal form; comfortable presenting technical concepts to technical and non-technical audiences. • Ability to translate business problems into scalable technical solutions • Strong analytical and problem-solving abilities • Stakeholder management and collaboration skills • Proactive, self-driven, and customer-focused mindset • ****Preferred Qualifications:** • Microsoft Fabric experience (Lakehouse, OneLake concepts, semantic models). • Experience with CI/CD for data/AI workloads and basic MLOps/LLMOps practices. • Understanding of identity and access management patterns (Entra ID, managed identities, service principals). • Exposure to Agent evaluation frameworks.