Pre-Sales AI Solution Engineer

OmniOps; Riyadh; On-site; SAR 250,000 - 420,000; Full time

Job summary

OmniOps in Riyadh seeks a Pre-Sales AI Solution Engineer with deep Generative AI, agentic architectures, and AI infrastructure expertise. You will craft architectures, demos, PoCs, and technical proposals for enterprise AI opportunities.

You will collaborate with sales, engineering, and delivery teams, deliver compelling technical presentations, and help customers understand how to scale AI platforms with Kubernetes, Docker, GPUs, and hybrid deployment patterns.

Qualifications

• 5+ years in technical pre-sales, solution engineering, software engineering, or related roles.
• Good understanding of LLMs, RAG, Agentic AI, and AI orchestration concepts.
• Hands-on experience building AI applications, demos, prototypes, or PoCs.
• Familiarity with AI frameworks such as LangChain, LangGraph, or similar.
• Good understanding of Kubernetes and Docker, including containerized deployment.
• Understanding of AI infrastructure, GPU accelerators, and inference workloads.
• Working knowledge of Python, APIs, and system integration.
• Familiarity with cloud, on-premises, or hybrid deployment architectures.
• Strong technical presentation, documentation, and customer communication skills.
• Professional proficiency in English.

Responsibilities

• Engage with customers to understand requirements and propose suitable AI solutions.
• Design high-level architectures for Generative AI, RAG, AI agents, and enterprise AI platforms.
• Develop and demonstrate AI prototypes, demos, and PoCs for customer use cases.
• Prepare technical proposals, architecture diagrams, RFP responses, and solution presentations.
• Support AI infrastructure discussions, including GPU accelerators, deployment architecture, and high-level capacity sizing.
• Collaborate with sales, engineering, and delivery teams throughout the pre-sales cycle.

Skills

LLMs

RAG

Agentic AI

AI orchestration

Prototypes & PoCs

LangChain

LangGraph

Kubernetes

Docker

Python

APIs & integration

Solutions architecture

Tools

LangChain

LangGraph

Kubernetes

Docker

GPU accelerators

Cloud platforms

Job description

OmniOps is a Riyadh-based technology solutions provider, serving organizations across Saudi Arabia and beyond. With offices in Jordan, Egypt, and Morocco, we specialize in empowering businesses to migrate and scale their AI technology infrastructure confidently, achieving a high level of maturity in their digital landscapes. Our comprehensive services and products guarantee seamless cloud migration, scalability, and management, ensuring optimal performance and consistent reliability for our valued partners.

Role Overview

We are looking for a Pre‑Sales AI Solution Engineer with a solid understanding of Generative AI, Agentic AI architectures, and AI infrastructure. The role combines hands‑on AI solution development, technical pre‑sales, and customer engagement to support enterprise AI opportunities.

Key Responsibilities

• Engage with customers to understand requirements and propose suitable AI solutions.
• Design high-level architectures for Generative AI, RAG, AI agents, and enterprise AI platforms.
• Develop and demonstrate AI prototypes, demos, and Proofs of Concept (PoCs) for customer use cases.
• Prepare technical proposals, architecture diagrams, RFP responses, and solution presentations.
• Support AI infrastructure discussions, including GPU accelerators, deployment architecture, and high-level capacity sizing.
• Collaborate with sales, engineering, and delivery teams throughout the pre-sales cycle.

Required Skills & Qualifications

• Minimum 5 years of experience in technical pre‑sales, solution engineering, software engineering, or related roles.
• Good understanding of LLMs, RAG, Agentic AI, and AI orchestration concepts.
• Hands‑on experience building AI applications, demos, prototypes, or PoCs.
• Familiarity with AI frameworks such as LangChain, LangGraph, or similar.
• Good understanding of Kubernetes and Docker, including containerized application deployment and orchestration.
• Understanding of AI infrastructure, GPU accelerators (NVIDIA or equivalent), and inference workloads.
• Working knowledge of Python, APIs, and system integration.
• Familiarity with cloud, on‑premises, or hybrid deployment architectures.
• Strong technical presentation, documentation, and customer communication skills.
• Professional proficiency in English.

Preferred Skills (Nice To Have)

• Exposure to vLLM, Slang or other LLM inference‑serving frameworks.
• Familiarity with GPU configuration, multi‑GPU deployments, and infrastructure sizing.
• Experience with NVIDIA AI software or GPU computing environments.
• Previous experience in enterprise AI solution consulting or pre‑sales.

Key Attributes

• Customer‑focused with strong problem‑solving skills.
• Able to translate business requirements into practical AI architectures.
• Comfortable communicating with both technical and business stakeholders.
• Proactive, collaborative, and eager to learn emerging AI technologies.