{bc}
Apply
linkedin

Forward Deployed Engineer

Kore.ai
Abu Dhabi, UAE
Full Time
Senior
Field
1 months ago
APIsMicroservicesCloud Infrastructure (AWS/Azure/GCP)Distributed SystemsEnterprise Integration PatternsAgent Frameworks (LangChain, LangGraph, AutoGen, CrewAI)
Free

Job Fit Check

Base Career helps you apply smarter for this job.

?%
Ready to Scan

Key skills for this role

APIsMicroservicesCloud Infrastructure (AWS/Azure/GCP)
Smart Apply

Full Job Posting

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.

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 a
  • 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.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today