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AI/Data Solutioning Engineer

1 month, 3 weeks ago
India
Full-time
Senior
AI (Artificial Intelligence)
Software Development
Apache Spark CI/CD MLOps .NET OpenTelemetry Python SQL
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ProArch

ProArch

At ProArch, we help our clients accelerate growth and mitigate risk with IT services, cybersecurity services, application development, cloud computing, and data analytics. ProArch was founded on the belief that a future where change is ‘business as usu...

Internet Software & Services
251-1K
Founded 2006
View All Jobs 18

Description

  • Lead the development of AI and data solutions, accelerators, and reusable service offerings.
  • Design and implement production-grade proofs of concept, 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 such as RAG and multi-agent workflows.
  • Ensure solutions are scalable, secure, and governed through RBAC, monitoring, and evaluation.
  • Drive reusable solution patterns and contribute to internal intellectual property creation.
  • Collaborate with delivery teams to transition solutions into production.
  • Support presales activities including workshops, proposals, demos, and discovery sessions.
  • Communicate solution value clearly 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, with Spark preferred.
  • Experience building large-scale data platforms and pipelines.
  • Hands-on experience with the Azure Data and AI ecosystem, including Fabric, Synapse, and Databricks.
  • Experience with LLMs, embeddings, vector search, and RAG architecture.
  • Experience with agent orchestration frameworks such as Semantic Kernel, LangChain, or similar tools.
  • Strong solution architecture and design thinking capability.
  • Experience with observability practices, including Application Insights and OpenTelemetry.
  • Ability to communicate clearly in written and verbal form and present 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, including Lakehouse, OneLake concepts, and semantic models, is preferred.
  • Experience with CI/CD for data and AI workloads and basic MLOps/LLMOps practices is preferred.
  • Understanding of identity and access management patterns such as Entra ID, managed identities, and service principals is preferred.
  • Exposure to agent evaluation frameworks is preferred.

Interested in this position?

Apply directly on the company website

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