AI/Data Solutioning Engineer

ProArch

Job Overview

Location

Remote

Employment Type

Full-time

Work Arrangement

Remote

Sector

Information Technology & Software

Experience Level

Senior (5-8 years)

Application Deadline

June 19, 2026

About the Company

ProArch is a dynamic consulting and engineering partner dedicated to guiding companies through their most challenging digital transformations in the Cloud. They believe that cloud migration is just the beginning, and their mission is to integrate cutting-edge technologies across all facets of an organization to revolutionize business operations. Their approach focuses on a cloud-centric journey designed to unlock the inherent value within your data. By leveraging ProArch's specialized solutions, they accelerate your time to value, enabling you to compete effectively in an increasingly interconnected and competitive global market. They are committed to redefining how businesses operate through strategic digital transformation.

Job Description

ProArch is seeking a seasoned AI/Data Solutioning Engineer to spearhead the design and development of advanced AI and data solutions, services, and reusable accelerators.

This is an engineering-focused role where you will spend a significant portion of your time building innovative solutions. You will also contribute to pre-sales activities, including discovery, architecture definition, and client interactions, blending hands-on technical expertise with strong solution architecture capabilities.

The ideal candidate will focus on AI agents and modern data platforms, architecting end-to-end solutions that span data pipelines, storage, semantic models, and AI layers. You will implement cutting-edge AI patterns such as Retrieval-Augmented Generation (RAG) and multi-agent workflows, ensuring solutions are scalable, secure, and governed.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

PythonSQLDistributed SystemsSparkAzure DataAI EcosystemLLMsVector SearchRAG ArchitectureAgent OrchestrationSemantic KernelLangChainSolution ArchitectureObservabilityApplication InsightsOpenTelemetryStakeholder Management

Key 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

Qualifications

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
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.

How to Apply

To apply for this role, click the Apply button on this page and follow the instructions.

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The field of AI and data solutions is experiencing rapid expansion, particularly in India, driven by the increasing demand for intelligent automation and data-driven decision-making. This role is pivotal in architecting and building cutting-edge AI agents and modern data platforms. You will leverage advanced concepts like Retrieval-Augmented Generation (RAG) and multi-agent workflows to create scalable, secure, and governed solutions. Your work will directly impact business ROI by accelerating time-to-value and driving innovation through reusable intellectual property.