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.
Benefits:
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:
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.
Skills Required
- 12+ years of engineering experience with progressive leadership responsibilities
- 5+ years of experience leading multi-team engineering organizations
- Proven success delivering AI/ML-driven products
- Deep understanding of LLM fine-tuning, retrieval pipelines, and model optimization
- Experience integrating LLM and RAG systems into enterprise SaaS
- Expertise in modern software architecture and cloud-native platforms
- Exceptional leadership and communication skills
- Experience building globally distributed engineering teams
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
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Healthcare Strength — Health coverage includes medical, dental, vision, mental‑health resources, and wellness programs, with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
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Leave & Time Off Breadth — Time off includes generous PTO, paid holidays, and a paid birthday day off. Enhanced parental, caregiver, and bereavement leave extend coverage beyond standard policies.
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Retirement Support — Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
Uniphore Insights
What We Do
The Business AI Cloud is the only sovereign, composable and secure AI platform that enables businesses to rapidly adopt, significantly transform and immediately unlock the value of their data. Trusted by more than 2,500 of the world’s largest enterprises and recognized by Gartner, Forrester, IDC and the Deloitte Fast 500, Uniphore is where enterprise AI moves from ambitions to production. A Complete, Composable Platform Uniphore is designed to be: Sovereign — run on any public cloud, private cloud or on-premises with full control over your data and AI models. Composable — choose your layer, model, or component—vector DBs, knowledge graphs, data compute, and beyond. Secure — embedded guardrails, observability, and AI security ensure trusted, compliant, and enterprise-grade protection. Trusted at Scale Over 2,000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth, improve efficiency, and deliver personalized customer experiences. Customers include leaders across industries, like Skechers, LastPass, Atlassian, HP, Allstate, Sony, and more. Industry Recognition Named to Inc.'s Best in Business List Listed on the Deloitte Technology Fast 500 Recognized in reports by Gartner, Forrester, and IDC From Pilot to Production Through strategic collaborations with industry leaders like KPMG, Cognizant, Rackspace, Databricks and Snowflake, Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.








