Solutions Architect

About the role

We are seeking a Forward Deployed Engineer / Solution Architect who can combine deep technical expertise with the ability to solve complex enterprise problems directly alongside our largest customers. This role involves working closely with implementation teams across the US and remote geographies, coordinating across time zones to drive successful enterprise deployments end-to-end.

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.
• 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.

Requirements

• Must Have:
• 10+ years of hands-on engineering experience in enterprise software, platform engineering, or solutions architecture.
• 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.
• Deep enterprise customer experience: Significant experience working directly with large enterprise customers (Fortune 500 / Global 2000), particularly interfacing with enterprise architects, CTOs, and infrastructure teams.
• 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.
• Hands-on technical proficiency across multiple domains: APIs, microservices, cloud infrastructure (AWS/Azure/GCP), distributed systems, and enterprise integration patterns.
• 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.
• 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.
• Experience with agent frameworks (Kore.ai Platform, LangChain, LangGraph, AutoGen, CrewAI ) or multi-agent orchestration patterns.
• First-principles thinker: You question assumptions, challenge the status quo, and approach every problem by understanding the fundamentals before designing solutions.
• Strong Plus 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.
• Experience at companies like Palantir, AWS, Salesforce, ServiceNow, Pega, or similar enterprise platform vendors in solutions-facing roles.
• Track record in building or scaling field engineering, solutions architecture, or forward deployed engineering functions.

Qualifications

• Education:
• Bachelor’s degree in Engineering, Computer Science, or related technical field.
• Master’s degree or equivalent depth of expertise preferred but not required — we value demonstrated capability over credentials.