Forward Deployed Engineer

Kore.ai; As Sudiyah; On-site; OMR 38,450 - 57,675; Full time

Job summary

Kore Inc. is seeking a Forward Deployed Engineer to work alongside Fortune 500 technical teams and architect AI solutions. The ideal candidate will have a minimum of 10 years of engineering experience and expertise in interacting with enterprise architects.

This role requires hands-on architecture and engineering skills, seeking a problem-solving approach to complex technical challenges. Candidates must have bilingual proficiency in Arabic and English.

Qualifications

• Minimum 10 years of hands-on engineering experience in enterprise software.
• Experience with Fortune 500 customers, interacting with CTOs and enterprise architects.
• Hands-on technical proficiency across multiple domains.

Responsibilities

• Work directly with enterprise customers to understand their technical challenges.
• Design and implement solutions using the Kore.ai Agent Platform.
• Serve as technical peer to customer enterprise architects.

Skills

API integration

Microservices

Cloud infrastructure (AWS/Azure/GCP)

Distributed systems

AI/ML systems

Bilingual proficiency in Arabic and English

Education

Bachelor's degree in engineering or Computer Science

Master's degree or equivalent expertise

Job description

Kore.ai is a globally recognized leader in the conversational and generative AI space helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Kore.ai’s goal is to empower businesses with effective, simple and responsible AI solutions that create engaging interactions. sectors serving over 100M of consumers and 500,000+ employees worldwide. With billions of interactions automated using our AI-powered technology, we have been able to save over $500M for these companies.

Kore.ai is one of the fastest growing AI companies globally. We are recognized as a leader by the leading technology and industry analysts like Gartner, Forrester, IDC, ISG, Everest, and others.

Founded in 2014 by serial successful entrepreneur, Raj Koneru, Kore.ai supports customers globally across offices in Orlando, Hyderabad, New York, London, Germany, Dubai Frankfurt, Tokyo and Seoul.

We’re reshaping the way companies harness the power of AI, simplifying and enhancing accessibility. Work alongside some of the brightest minds in the industry to pioneer safe, reliable solutions. Join the Kore.ai team and help companies of all sizes simplify the adoption of advanced AI solutions responsibly.

POSITION SUMMARY

We are looking for a Forward Deployed Engineer who combines deep technical expertise with the ability to solve complex enterprise problems directly alongside our largest customers. This is not a traditional solutions consulting role. You will be embedded with Fortune 500 technical teams, working hands‑on to architect, build, and scale agentic AI solutions that transform how these organizations operate.

You are the kind of engineer who can walk into a room with enterprise architects, CIOs, and infrastructure leaders — understand their most complex challenges — and then go build the solution. You think from first principles, thrive in ambiguity, and treat every customer engagement as both a technical challenge and a strategic opportunity.

You’ll work closely with implementation teams — coordinating across time zones to drive successful enterprise deployments end‑to‑end. This role requires the ability to lead distributed teams, align stakeholders across regions, and maintain execution quality regardless of where the work is happening.

LOCATION: UAE or KSA, Remote

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.
• Significant professional experience working directly with large enterprise customers (Fortune 500 / Global 2000), particularly interfacing with enterprise architects, CTOs, and infrastructure teams.
• Hands‑on technical proficiency across multiple domains: APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, and enterprise integration patterns.
• Previous hands‑on experience with complex system integrations — connecting enterprise platforms, contact centers, CRMs, ERPs, and communication systems at scale.
• 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.
• Previous hands‑on experience with agent frameworks (Kore.ai Platform, LangChain, LangGraph, AutoGen, CrewAI ) or multi‑agent orchestration patterns.
• Experience with AI/ML systems — particularly LLMs, conversational AI, or agentic AI applications.
• 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.
• Background in RAG implementations, prompt engineering, or LLM‑based application development.
• Previous professional experience at companies like Palantir, AWS, Salesforce, ServiceNow, Pega, or similar enterprise platform vendors in solutions‑facing roles.
• 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.