Senior AI Engineer

Team: Build, Frontier Firm Live (FFL)

Reports to: Head of Build

Location: Riyadh, Saudi Arabia (With Iqama preferred)

Type: Full‑time

We are scaling enterprise‑grade agentic AI across the Middle East and Africa. Build is the engine room behind that work: the team that designs, ships, and continuously improves the AI agents and platform features inside our Frontier Firm Live offering. We are looking for a senior builder, someone who has shipped production AI systems before and can take that experience into a fast‑moving, low‑hierarchy team where engineers work directly alongside architects, designers, and AI strategists to turn high‑value use cases into deployed solutions.

This is a senior role. Beyond building, you will set the standard other AI Engineers build to, review their architecture before delivery starts, and help shape the reference patterns that ship into our Use Case Library  across every customer engagement in the region.

• Production AI agents using Microsoft Foundry Agent Service: multi‑agent workflows, hosted agents, memory, observability, identity integration, secure endpoints, and deployment
• Knowledge‑grounded experiences using Azure AI Search and retrieval‑augmented generation, including vectors, keyword‑searchable, hybrid, semantic‑ranking and enterprise‑permissioned retrieval (When do we need vectorization and when we don’t, when to create handovers between agents, when to rely on the model’s context window, when to finetune and when to use RAG)
• Deterministic, source‑grounded extraction: pipelines that pull figures and facts straight from documents without hallucinating, attaching citations, provenance and uncertainty flags to every claim so outputs are auditable
• Tool‑using agents that execute secure actions through Model Context Protocol (MCP), Azure Logic Apps, Azure Functions, and custom APIs
• Model‑optimised applications using Foundry Models and the model router, balancing quality, latency, and cost
• Enterprise‑safe systems with prompt shielding, groundedness checks, and content‑safety enforcement
• Reusable reference agents, connectors, and evaluation templates that ship into our Use Case Library  and accelerate delivery across the region

• Translate business opportunities into robust, production‑ready agent architectures
• Build pro‑code AI agents using Python (FastAPI, Streamlit, Scraping, Serialization, etc.), .NET React.js with the Microsoft Agent Framework (Knowing Langgraph/Langchain/Semantic Kernel is an edge)
• Lead the design of multi‑agent orchestration and agentic design patterns, including planning, routing, and human‑in‑the‑loop patterns, on the team's most complex builds (understanding distributed systems is a plus)
• Review architecture and delivery plans from other AI Engineers before build starts, and act as a technical escalation point during delivery
• Design and maintain the delivery lifecycle for agents already in production — evaluation, telemetry, logging, safety, and CI/CD pipelines — using Git Hub Actions and pipeline YAML, with infrastructure‑as‑code (Bicep or Terraform) a plus
• Familiarity with networking concepts — VNets, subnets, private endpoints (and private DNS), NSGs, and firewall / allow listing — for deploying AI services securely inside an enterprise tenant.
• Familiarity with data engineering and pre‑processing — parsing, cleaning, normalization, deduplication and schema creation and engineering/validation (for quantitative and qualitative metrics) — so the data feeding agents and retrieval is clean, typed and reliable.
• Understanding model capabilities, benchmarks and limitations — and how to work around them: training‑data knowledge cut‑off, prompt‑injection, context and harness engineering, retrieval grounding, and fine‑tuning.
• Set and maintain the reference patterns and reusable components other engineers build from
• Mentor AI Engineers, including colleagues moving into the role through our internal upskilling path
• Support presales and customer proposals with technical input on feasibility and solution design

• Significant hands‑on experience building production AI agents or AI‑infused applications,…