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Sr. Director Engineering

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: Uniphore Technologies Inc.
Full Time position
Listed on 2026-01-28
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Science Manager, Machine Learning/ ML Engineer
  • Engineering
    AI Engineer, Systems Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below
Sr. Director Engineering page is loaded## Sr. Director Engineering locations:
USA - CA - Palo Altotime type:
Full time posted on:
Posted Todayjob requisition :
JR100662

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…
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