Forward Deployed Engineer

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: Orlando, FL

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 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 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:

• Bachelor’s degree in engineering, Computer Science, or related technical field required.
• Master’s degree or equivalent depth of expertise preferred.

Depending on specific professional experience and geographical location of individuals, the salary for this position ranges from $180,000 - $230,000. Additional wage/bonus/commission and benefit details will be shared during the formal interview process for this full-time employment opportunity.