# AI/Data Solutioning Engineer

**Company:** [ProArch](http://jobs.workable.com/companies/u8TybTAE2YbYgRVFYov9t4.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Innovation Team

[Apply for this job](http://jobs.workable.com/view/da3fe52e-3e0b-4fe3-9f49-8e0c3f04eef5)

## Description

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:**

-   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.