AI/Data Solutioning Engineer

About ProArch: ProArch is a premier, internationally recognized cloud architecture pioneer, global data solutions innovator, and product engineering leader on an absolute mission to deliver next-generation digital transformations for enterprises worldwide. Specializing in bridging the critical infrastructure gaps between messy big-data footprints and secure corporate automation, ProArch manufactures state-of-the-art managed services, advanced cybersecurity safeguards, and custom artificial intelligence platforms. Driven by a fast-paced, high-standards remote culture within our core Innovation Team, the company unifies robust data pipelines with solution design thinking. ProArch establishes an autonomous, customer-focused environment where software craftsmen are trusted with end-to-end code ownership, providing distributed builders with the ultimate technical canvas to engineer scalable intellectual property confidently across international sectors.

Position Overview

We are seeking a highly analytical, engineering-first AI/Data Solutioning Engineer (internally designated as a Senior AI Engineer) to join our core global Innovation Team in a full-time remote capacity within Hyderabad, India. In this hybrid, highly visible software seat, you will claim individual technical accountability for leading the design, implementation, and scaling of custom AI/Data solutions, services, and reusable internal accelerators. Moving completely beyond passive consulting or uninsulated scripting, your role is split intentionally: devoting 50–75% of your operational footprint to hands-on keyboard coding of production-grade PoCs and MVPs, and dedicating 25–50% to driving high-touch pre-sales workflows, client discovery loops, and solution architecture pitches. This high-leverage role demands a seasoned data generalist who builds large-scale cloud pipelines, structures multi-agent autonomous frameworks, and communicates dense technical concepts smoothly to both developer cells and non-technical business stakeholders.

Key Responsibilities

• End-to-End AI Solution Architecture: Design, implement, and govern production-grade data pipelines, semantic models, storage layers, and artificial intelligence frameworks to resolve messy business challenges.
• Hands-On Python and SQL Scripting: Build and optimize scalable data transformation utilities, cloud microservices, and distributed extraction jobs natively leveraging Python Scripting and complex SQL query structures.
• Azure Foundry Agent Engineering: Code, integrate, and ground intelligent autonomous AI agents natively using AI Engineer tools inside the Azure AI Foundry ecosystem, coordinating multi-agent workflows and grounding layers.
• Advanced RAG Model Deployment: Architect and deploy high-fidelity Retrieval-Augmented Generation (RAG) models, managing vector database indexing, text embeddings mapping, and tokenization steps.
• Agent Orchestration Framework Triage: Manage and wire complex multi-turn conversational patterns and tool integrations natively utilizing orchestration packages like Semantic Kernel or LangChain.
• Pre-Sales Strategy and Pitch Delivery: Partner alongside commercial leads to support strategic client workshops, architect structural solution designs, write technical proposal components, and present live software demos confidently to executive buyers.
• Ecosystem Security and Governance: Enforce uncompromised data privacy and access governance layers across distributed models, implementing Role-Based Access Control (RBAC), Entra ID protocols, and managed identities.
• Platform Observability and Telemetry Monitoring: Inject comprehensive runtime logging, tracing registries, and continuous diagnostic metrics into custom accelerators using Application Insights or OpenTelemetry patterns.
• Production Delivery Handover: Collaborate smoothly with internal cross-functional delivery units and software engineers to transition internal IP blocks and validated MVPs successfully into live production environments.

Required Skills & Qualifications

• Proven professional history running advanced software development, full-stack data engineering, cloud-native machine learning operations (MLOps), or customer-facing technology solutioning.
• Demonstrated history successfully architecting and implementing large-scale distributed databases, cloud data warehouses, or high-throughput event-driven microservices (with Spark engine exposure highly preferred).
• Deep, authoritative technical command of relational schema design and automated processing pipelines natively utilizing SQL and Python Scripting languages.
• Practical production experience constructing neural connections, LLM evaluation pipelines, vector searches, or semantic embeddings maps natively inside an AI Engineer workflow.
• Outstanding verbal, written, and consultative presentation traits, with a proven capability to distill highly abstract machine learning topologies into plain-language business recommendations.
• Location Context: Parameters open exclusively to qualified full-stack AI and data builders base-stationed permanently within Hyderabad, Telangana, India to execute 100% remotely from home under global virtual alignment frameworks.

Preferred Strategic Indicators (Nice to Have)

• Prior commercial history configuring big data workloads natively inside contemporary Microsoft Fabric environments (including Lakehouse components, OneLake storage paradigms, and semantic rules).
• Hands-on operational familiarity setting up continuous integration and continuous deployment (CI/CD) workflows optimized for LLMOps or automated data model evaluations.
• Understanding of enterprise identity access patterns, specifically covering Azure Entra ID, service principals, and secure token lifecycle protection.
• An adaptive, high-ownership startup mindset displaying top-tier prioritization habits and the capacity to balance multiple shifting pre-sales requests concurrently.

What We Offer

• The exceptional professional canvas to directly direct, code-shape, and deploy the automated machine learning platforms and data pipelines driving real-time intelligence for ProArch enterprise client portfolio.
• Highly attractive, capability-benchmarked full-time baseline salary structures supplemented by transparent paths for professional velocity and technical architecture track expansion within India.
• Profound work-from-home remote parameters providing an elite digital workplace, flexible scheduling boundaries, and absolute location comfort.
• Immediate integration into a high-performance innovation cell that strips away bureaucratic micro-management to prioritize raw engineering excellence and reusable internal IP creation.
• Access to accelerated professional development budgets, fully supported cloud architecture certifications, and cross-functional skill development initiatives.