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 / TITLE: Forward Deployed Engineer
LOCATION: DUBAI, UAE OR RIYADH, KSA
Position Summary
We are looking for a Forward Deployed Engineer who seamlessly bridges deep technical mastery with elite executive presence to solve complex enterprise problems alongside our largest customers. This is not a traditional solutions consulting role. You will be embedded with Fortune 500 leadership and technical teams, working hands-on to architect, build, and scale agentic AI solutions that transform how these organizations operate.
You are a rare hybrid: an exceptional engineer who can effectively & professionally command a room of CIOs, CTOs, and enterprise architects, articulate a compelling vision, and then immediately roll up your sleeves to build the solution. You excel at translating cutting-edge AI capabilities into clear, high-impact business strategies for the C-suite, while maintaining the technical authority to lead deep-dive engineering reviews. You think from first principles, thrive in ambiguity, and treat every customer engagement as both a technical breakthrough and a masterclass in strategic stakeholder alignment.
Responsibilities
C-Suite & Enterprise Architect Engagement: Serve as the trusted technical authority and primary advisor to customer CIOs, CTOs, and enterprise architects. Lead high-stakes design reviews, present sophisticated architecture blueprints, and command confidence at the executive table.
Executive Communication & Technical Translation: Translate complex, ambiguous AI capabilities and multi-system orchestration patterns into clear, value-driven narratives for both deeply technical engineers and non-technical business leaders.
High-Impact Technical Workshops: Design and facilitate strategic technical workshops, executive briefings, and proof-of-concept demonstrations that de-risk complex AI implementations and align cross-functional stakeholders.
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 don't just present architecture diagrams—you build the system.
Strategic Technical Due Diligence: Partner with executive sales leaders on high-value engagements, bringing immense technical credibility to the table through custom demos, architecture assessments, and strategic risk mitigation.
Global Stakeholder Alignment: Coordinate across cross-functional, distributed implementation teams and global time zones, ensuring seamless execution, flawless delivery, and consistent alignment with the customer’s executive roadmap.
Minimum 10 years of hands-on engineering experience in enterprise software, platform engineering, or solutions architecture required.
Executive Interfacing: Significant professional experience working directly with Fortune 500 / Global 2000 customers, with a proven track record of regularly interfacing with and influencing CTOs, CIOs, and infrastructure executives required.
Hands-on technical proficiency across multiple domains: APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, and enterprise integration patterns required.
AI/ML Expertise: Previous hands-on experience with agent frameworks (Kore.ai Platform, Lang Chain, Lang Graph, AutoGen, Crew AI) or multi-agent orchestration patterns, alongside ML systems (LLMs, conversational AI, or agentic applications) required.
Enterprise Scale: Deep understanding of scaled enterprise implementations—moving AI solutions from pilot to multi-region, enterprise-wide rollouts (including performance engineering, high availability, and disaster recovery).
Voice AI & Contact Center Expertise: 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 environments required.
Professional experience at top-tier enterprise platform vendors (e.g., Palantir, AWS, Salesforce, ServiceNow, Pega) in high-touch, solutions-facing roles required.
Travel: currently reside within an hour of a major airport and willing to travel as business needs required.
Languages: Bilingual fluent proficiency in both Arabic and English is mandatory. Candidates must be able to conduct meetings, presentations and written communications in both languages required.
Executive Presence & Presentation Mastery: Exceptional ability to command a room, handle tough questions from C-suite executives with poise, and articulate the business value of deep technical architectures required.
The "Builder-Presenter" Hybrid: A unique blend of strong engineering execution and sophisticated communication. You are not just a presenter—you are an engineer who builds what they pitch.
Strategic Problem Solving: A track record of walking into ambiguous, highly political, or complex corporate environments, establishing technical consensus, and delivering pragmatic solutions required.
First-Principles Thinking: Ability to question legacy enterprise assumptions, challenge the status quo, and guide customer executives toward innovative, future-proof AI strategies.
Education Qualification
Bachelor’s degree in Engineering, Computer Science, or a related technical field required.
Master’s degree or an equivalent depth of technical and business acumen preferred.
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