AI/Data Solutioning Engineer

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.

Originally posted on Himalayas