ProArch is seeking an experienced Senior AI Engineer to lead the design and development of AI/Data solutions, services, and reusable accelerators. This role is engineering-first, with approximately 50–75% of time focused on building solutions and 25–50% supporting presales activities including discovery, architecture definition, and client interactions. The ideal candidate will combine strong hands-on engineering expertise with solution architecture capability, with a focus on AI agents and modern data platforms.
Responsibilities:
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Lead development of AI/Data solutions, accelerators, and reusable service offerings
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Design and implement production-grade PoCs, MVPs, and scalable frameworks
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Architect end-to-end solutions across data pipelines, storage, semantic models, and AI layers
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Develop AI agents using Azure AI Foundry including orchestration, tool integration, and grounding
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Implement advanced AI patterns including RAG and multi-agent workflows
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Ensure solutions are scalable, secure, and governed (RBAC, monitoring, evaluation)
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Drive reusable solution patterns and internal IP creation
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Collaborate with delivery teams to transition solutions into production
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Support pre-sales activities including workshops, proposals, and demos
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Communicate solution value to both technical and business stakeholders
Requirements
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Strong experience in Data Engineering, AI Engineering, or Full-Stack Engineering
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Expertise in Python/.Net, SQL, and distributed systems (Spark preferred)
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Experience building large-scale data platforms and pipelines
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Hands-on experience with Azure Data + AI ecosystem (Fabric, Synapse, Databricks)
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Experience with LLMs, embeddings, vector search, and RAG architecture.
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Experience with agent orchestration frameworks such as Semantic Kernel or LangChain or similar.
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Strong solution architecture and design thinking capability
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Expertise of observability practices including Application Insights/OpenTelemetry.
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Ability to communicate clearly in written and verbal form; comfortable presenting technical concepts to technical and non-technical audiences.
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Ability to translate business problems into scalable technical solutions
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Strong analytical and problem-solving abilities
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Stakeholder management and collaboration skills
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Proactive, self-driven, and customer-focused mindset
Preferred Qualifications:
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Microsoft Fabric experience (Lakehouse, OneLake concepts, semantic models).
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Experience with CI/CD for data/AI workloads and basic MLOps/LLMOps practices.
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Understanding of identity and access management patterns (Entra ID, managed identities, service principals).
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Exposure to Agent evaluation frameworks.
