Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.
Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data.
As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.
Job Description:
Join us at Uniphore as we build the future of Business AI.
We are seeking a Senior Director of Engineering to lead the architecture and delivery of AI-driven products powered by Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You’ll drive innovation at the intersection of conversation intelligence, natural language processing, and enterprise-scale SaaS — building products that reshape how humans and businesses interact. If you are passionate about leading world-class engineering teams, scaling advanced AI systems, and delivering human-centric solutions with real-world impact, we’d love to meet you.
Role Overview:
We are seeking a seasoned Senior Director of Engineering to lead critical product and platform engineering initiatives. This leader will drive strategy, execution, and delivery across multiple engineering teams building Uniphore’s core conversational AI, voice automation, and analytics platforms.
You will collaborate closely with cross-functional leaders (Product, Design, Data Science, Customer Success) to drive innovation and deliver scalable, enterprise-grade solutions for our global customer base.

Key Responsibilities:

• Lead and inspire multiple engineering teams building Uniphore’s next-gen conversational AI platforms and products.
• Drive the architecture, implementation, and optimization of systems leveraging LLMs and Retrieval-Augmented Generation (RAG) frameworks to enhance conversational intelligence and accuracy.
• Partner with Product, Data Science, and Design to define and execute product roadmap aligned with business goals and customer needs.
• Build scalable architectures that support LLM fine-tuning, inference, prompt engineering, and RAG pipelines in production environments.
• Foster a culture of innovation, rapid experimentation, and engineering excellence across AI/ML and product engineering teams.
• Own end-to-end software delivery: planning, execution, release, quality, and operational excellence.
• Hire, mentor, and develop engineering leaders and ICs across a distributed team.
• Collaborate with executive leadership on long-term product and technology strategy, particularly in leveraging emerging AI technologies.

Qualifications:

• 12+ years of engineering experience with progressive leadership responsibilities.
• 5+ years of experience leading multi-team engineering organizations at the Senior Director or equivalent level.
• Proven success delivering AI/ML-driven products, LLM-based systems, and scalable RAG pipelines in production.
• Deep understanding of LLM fine-tuning, retrieval pipelines (vector search, embeddings), model optimization, and latency/performance tradeoffs.
• Experience integrating LLM and RAG systems into enterprise SaaS or customer-facing applications.
• Expertise in modern software architecture, cloud-native platforms (AWS/GCP/Azure), and CI/CD.
• Exceptional leadership, communication, and cross-functional collaboration skills.
• Experience building and scaling globally distributed engineering teams.
• Passion for building transformational AI products that deliver human-centric experiences.

Why Join Uniphore:

• Be part of a high-growth leader in one of the most exciting fields in AI.
• Work with brilliant and collaborative teams on cutting-edge technology.
• Drive innovation that is transforming enterprise customer experience.
• Build products with real-world impact at scale.

Hiring Range:
$248,700 - $342,000 - for Primary Location of USA - CA - Palo Alto
The specific rate will depend on the successful candidate’s qualifications and prior experience.
In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:
USA - CA - Palo Alto
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com

• Lead and inspire multiple engineering teams building Uniphore’s next-gen conversational AI platforms and products.
• Drive the architecture, implementation, and optimization of systems leveraging LLMs and Retrieval-Augmented Generation (RAG) frameworks to enhance conversational intelligence and accuracy.
• Partner with Product, Data Science, and Design to define and execute product roadmap aligned with business goals and customer needs.
• Build scalable architectures that support LLM fine-tuning, inference, prompt engineering, and RAG pipelines in production environments.
• Foster a culture of innovation, rapid experimentation, and engineering excellence across AI/ML and product engineering teams.
• Own end-to-end software delivery: planning, execution, release, quality, and operational excellence.
• Hire, mentor, and develop engineering leaders and ICs across a distributed team.
• Collaborate with executive leadership on long-term product and technology strategy, particularly in leveraging emerging AI technologies