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Uniphore

VP of AI Engineering

Salary$286k – $358k
LocationUSA - CA - Palo Alto
Typefull-time
SeniorityVP
Experience20+ yrs
EquityIncluded
Company size501–1,000 people
PostedSep 18, 2026 · 3w ago
Verified live15h ago
At a glanceSummarised by Seekless from the posting.
20+ years of engineering experience with progressive leadership responsibilities
10+ years of experience leading large, multi-team engineering organizations at the Sr. Directory/VP or equivalent level
Proven success delivering AI/ML-driven products, language model-based systems, and scalable data processing pipelines in production
Deep understanding of Model fine-tuning, retrieval pipelines (vector search, knowledge graphs, context graphs), model optimization, inferencing and latency/performance tradeoffs
Expertise in modern software architecture, cloud-native platforms (AWS/GCP/Azure), and CI/CD
Exceptional leadership, communication, and cross-functional collaboration skills
Proven track record of building, scaling, and retaining globally distributed engineering organizations
Passion for building transformational AI products that deliver human-centric experiences
Skills
LLMs
SLMs
AWS
GCP
Azure
CI/CD
Benefits
Annual incentive
Pre ipo stock options
Medical
Dental
Vision
401(k)
Paid time off
Paid holidays
Birthday paid day off
About the company
Uniphore is the Business AI company. Our sovereign, composable and secure AI platform connects enterprise data, fine-tunes AI models and deploys agentic AI across the enterprise. We empower every worker to boost productivity and help businesses grow faster, operate smarter and reduce costs. Trusted by more than 2,000 businesses globally, and recognized on the Deloitte Fast 500, Uniphore delivers on the promise of AI as a transformative force for business.
Job Description:
Join us at Uniphore as we build the future of Business AI.
We are seeking a VP of AI Engineering to lead the architecture and delivery of AI-driven products powered by Language Models (LLMs) with a focus on SLMs and Agentic AI. You’ll drive innovation in complete Enterprise AI technology stack — building products that reshape how humans and businesses interact. If you are passionate about leading world-class engineering organizations, 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 VP of AI Engineering to lead critical product and platform engineering initiatives. This leader will drive strategy, execution, and delivery across multiple engineering organizations building Uniphore’s flagship Enterprise AI platform.
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 organizations building Uniphore’s next-gen conversational AI platforms and products.
• Drive the architecture, implementation, and optimization of systems leveraging SLMs, Agentic AI, Unstructured and Structured data processing, data engineering agents and evaluation systems to provide the most complete Enterprise AI stack for the largest F1000 companies in the world.
• 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 SLLM 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 organizations.
• Own end-to-end software delivery: planning, execution, release, quality, and operational excellence.
• Hire, mentor, and develop engineering leaders and senior ICs across a globally distributed organization.
• Serve as a key member of the engineering leadership team, collaborating with executive leadership on long-term product and technology strategy, particularly in leveraging emerging AI technologies.
Qualifications:
• 20+ years of engineering experience with progressive leadership responsibilities.
• 10+ years of experience leading large, multi-team engineering organizations at the Sr. Directory/VP or equivalent level.
• Proven success delivering AI/ML-driven products, language model-based systems, and scalable data processing pipelines in production.
• Deep understanding of Model fine-tuning, retrieval pipelines (vector search, knowledge graphs, context graphs), model optimization, inferencing and latency/performance tradeoffs.
• Expertise in modern software architecture, cloud-native platforms (AWS/GCP/Azure), and CI/CD.
• Exceptional leadership, communication, and cross-functional collaboration skills.
• Proven track record of building, scaling, and retaining globally distributed engineering organizations.
• 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 transforms enterprise customer experience.
• Build products with real-world impact at scale.
Hiring Pay Range:
$286,400 - $358,000
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:
USA - CA - Palo Alto
Legal
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.
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