Engineering Leader (LLM Inference, Forward Deployed Engineering)

Forward Deployed Engineer Long Term Remote / 30 40% travel (client locations across US or globally) Hands-on involvement in on-site implementations and workshops Overview 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 across the US and remote geographies 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: Remote, US 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/Google Cloud Platform), 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. 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 b