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ProArch

Consulting and technology- enabled by cloud, guided by data, fueled by apps, and secured by design.

AI/Data Solutioning Engineer

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteSeniorTeam 201-500H1B SponsorCompany SiteLinkedIn

Location

India

Posted

4 days ago

Salary

0

Seniority

Senior

Job Description

AI/Data Solutioning Engineer

ProArch

• 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

Job 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.

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