Senior Solutions Engineer, Enterprise AI & CX

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Solutions Engineer, Enterprise AI & CX in the United States.

This role is designed for a hands-on, technically deep solutions engineer with extensive enterprise contact center and customer experience expertise. You will lead the design, prototyping, and hardening of AI-driven solutions for large enterprise prospects, operating as an applied AI systems architect in a pre-sales environment. The position requires autonomy, executive visibility, and a builder mindset to translate complex workflows into functional AI architectures and working prototypes. You will collaborate closely with enterprise stakeholders, account executives, and technical teams to ensure solutions are scalable, measurable, and aligned with business outcomes. Success in this role is defined by the delivery of production-ready proofs of concept, robust technical discovery, and operationally validated AI systems. The ideal candidate thrives in fast-paced, ambiguous environments, taking full ownership of technical outcomes while navigating complex enterprise ecosystems.

Accountabilities:

Design and prototype enterprise-grade, AI-driven customer experience solutions, translating business logic into structured reasoning frameworks.
Architect robust retrieval, orchestration, and validation systems, building scalable prototypes that tolerate real-world data variability.
Lead technical discovery across multi-layered enterprise accounts, extracting clear architecture and data requirements from ambiguous environments.
Apply deep enterprise CX and contact center knowledge to operationalize workflows, including routing, escalation, QA, and SLA considerations.
Partner with account executives to shape pre-sales technical strategy, scope engagements, and influence enterprise stakeholders on integration and AI implementation.
Own technical outcomes end-to-end, delivering artifacts that withstand executive and architectural scrutiny.
Continuously refine solution design processes, integrating feedback and ensuring operational feasibility.

Requirements:

5+ years of experience in enterprise customer experience, contact center, or customer support technology environments.
Strong understanding of CCaaS platforms, CRM systems, digital messaging channels, routing logic, escalation models, and reporting metrics.
Proven ability to lead complex technical discovery, influence enterprise architecture, and extract structured requirements.
Hands-on experience building AI-driven applications, including LLMs, reasoning frameworks, orchestration, and decision logic.
Proficiency in Python, API integration, data normalization, error handling, and test harness construction.
Familiarity with cloud architecture patterns, SaaS integrations, event-driven systems, and scalable API design.
Startup or high-growth experience with a builder mindset, operating independently with minimal structure.
Exceptional problem-solving, communication, and stakeholder management skills, capable of balancing technical feasibility and business impact.

Benefits:

Market-competitive total compensation package including equity options
100% company-paid family medical and individual dental and vision insurance
Flexible, unlimited vacation policy
Opportunity to work in a high-growth, innovative environment shaping enterprise AI solutions
Strong company culture with emphasis on autonomy, ownership, and impact

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Senior Solutions Engineer, Enterprise AI & CX

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