Lead AI Engineer

Job not on LinkedIn

🔥 14 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $160k - $225k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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TTEC

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1984

🤝 B2B

💰 Post-IPO Debt on 2021-11

B2B • Customer Experience • AI

TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.

📋 Description

• Lead the design and development of production AI systems powering insurance workflow automation • Architect AI orchestration layers connecting LLMs, backend services, and business workflows • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies • Drive engineering decisions around latency, reliability, cost, and scalability of AI services • Lead implementation of Observability Systems (logging, monitoring, tracing, alerting) • Review and guide backend AI implementation across engineering teams • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features • Debug complex production issues across distributed AI systems and lead root-cause analysis • Define engineering standards and best practices for AI system development • Mentor engineers and elevate technical execution quality across teams

🎯 Requirements

• Strong backend or AI engineering experience in production environments • Experience building or scaling AI systems (LLMs, embeddings, recommendation systems, or automation workflows) • Strong system design skills with experience in distributed systems • Experience with production inference pipelines and AI orchestration • Strong debugging ability in high-scale, latency-sensitive environments • Experience with observability, monitoring, and incident response • Proven ability to lead technical execution in cross-functional teams • Strong ownership mindset and ability to drive projects end-to-end • Comfortable working in fast-paced, globally distributed teams

🏖️ Benefits

• medical insurance • Dental • Vision • Savings Plan Options • PTO