Forward Deployed Engineer

Overview

Position Summary

Responsibilities

• Solve Hard Problems at Scale: Work directly with enterprise customers to understand their most complex technical challenges — integration bottlenecks, scaling constraints, multi-system orchestration — and architect solutions from the ground up.
• Hands-On Architecture & Engineering: Design, prototype, and implement solutions using the Kore.ai Agent Platform. Write code, build integrations, optimize performance, and debug production issues. You’re not just drawing architecture diagrams — you’re building the system.
• Enterprise Architect Engagement: Serve as the technical peer to customer enterprise architects and CIOs. Present architecture blueprints, lead design reviews, and establish trust as the go-to technical authority for complex deployments.
• Customer-Facing Technical Leadership: Lead technical workshops, design sessions, and proof-of-concept implementations. Translate complex AI capabilities into clear business value for technical and non-technical stakeholders.
• Bridge Product & Customer Reality: Act as the critical feedback loop between what customers need and what our platform delivers. Influence product roadmap with real-world insights from enterprise deployments.
• Scale What Works: Document solution patterns, create reusable architectures, and build technical assets that enable the broader team and partner ecosystem to replicate success
• Technical Due Diligence for Strategic Deals: Support high-value sales engagements with deep technical credibility — conducting architecture assessments, building custom demos, and de-risking complex implementations.

Must Have Requirements

• Minimum 10 years of hands-on engineering experience in enterprise software, platform engineering, or solutions architecture required.
• Significant professional experience working directly with large enterprise customers (Fortune 500 / Global 2000), particularly interfacing with enterprise architects, CTOs, and infrastructure teams required.
• Hands-on technical proficiency across multiple domains: APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, and enterprise integration patterns required.
• Previous hands-on experience with complex system integrations — connecting enterprise platforms, contact centers, CRMs, ERPs, and communication systems at scale required.
• Understanding of scaled enterprise implementations — experience deploying and operating AI solutions across thousands of users, multiple regions, and complex organizational structures. You understand what it takes to go from pilot to enterprise-wide rollout, including performance engineering, high availability, disaster recovery, and operational readiness at scale required.
• Previous hands-on experience with agent frameworks (Kore.ai Platform, LangChain, LangGraph, AutoGen, CrewAI ) or multi-agent orchestration patterns required.
• Experience with AI/ML systems — particularly LLMs, conversational AI, or agentic AI applications required.
• Expertise in Voice AI and Customer Experience platforms — deep understanding of voice call automation, IVR modernization, speech-to-text/text-to-speech pipelines, telephony integrations (SIP/WebRTC), and end-to-end voice bot architectures in enterprise contact center environments required.
• Background in RAG implementations, prompt engineering, or LLM-based application development required.
• Previous professional experience at companies like Palantir, AWS, Salesforce, ServiceNow, Pega, or similar enterprise platform vendors in solutions-facing roles required.
• Languages - Bilingual proficiency in Arabic and English is mandatory. Candidates must be able to conduct meetings, presentations and written communications in both languages.

Soft Skills Expertise

• Strong engineering mindset: You write code, review architectures, debug systems, and build prototypes. You are not just a “presenter” — you are a builder.
• Proven problem-solving ability: Track record of tackling ambiguous, complex technical challenges and delivering pragmatic solutions under real-world constraints.
• Customer-facing excellence: Exceptional ability to communicate complex technical concepts to varied audiences — from engineering teams to C-suite executives. You earn trust through competence and clarity.
• First-principles thinker: You question assumptions, challenge the status quo, and approach every problem by understanding the fundamentals before designing solutions.
• Track record in building or scaling field engineering, solutions architecture, or forward deployed engineering functions.

Education Qualification

• Bachelor’s degree in engineering, Computer Science, or related technical field required
• Master’s degree or equivalent depth of expertise preferred.