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.
What You'll Do
- 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.
- 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.
What We're Looking For
- 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, 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.
- Strong engineering mindset: You write code, review architectures, debug systems, and build prototypes.
- 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.
- 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.
Technical Stack
- APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, enterprise integration patterns
- Kore.ai Agent Platform, agent frameworks (LangChain, LangGraph, AutoGen, CrewAI)
- AI/ML systems, LLMs, conversational AI, agentic AI
- Voice AI, Customer Experience platforms, speech-to-text/text-to-speech, telephony integrations (SIP/WebRTC)
Team & Environment
Work closely with implementation teams across the US and remote geographies.
Work Mode
This role is onsite in Orlando, FL.
