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:
Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform, and immediately unlock value through AI, by providing a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data. We enable the Global top 1000 customers to achieve their business outcomes through our core principles of providing composable, sovereign and secure AI.
Job Role:
We are seeking an experienced Senior Staff AI Scientist to lead the design, development, and deployment of next-generation AI systems across enterprise-scale applications. This role offers the opportunity to drive execution of AI initiatives from research through production, influencing system design and architecture decisions, and mentor teams working on transformative AI technologies that serve global business users.
Key Responsibilities
- Design and develop agentic AI systems and retrieval-augmented generation (RAG) applications for large enterprises.
- Research and implement methods for fine-tuning, alignment, and evaluation of AI agents and RAG systems.
- Contribute to the development of our agentic platform, including context management, memory architectures, evaluation frameworks, and trust and safety mechanisms.
- Conduct applied AI research by evaluating, adapting, and extending state-of-the-art open-source models.
- Lead multiple AI projects from research and prototyping through production deployment as part of cross-functional teams including engineering, product management, and solutions engineering.
- Mentor and elevate the team: Provide technical leadership, peer mentorship, and guidance on research rigor, experimental methodology, and ML best practices.
- Lead cross-functional AI initiatives: Partner with engineering, research, and product leaders to translate strategic goals into robust technical roadmaps and deliver measurable value in production.
Qualifications
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- 10+ years of industry experience in AI/ML for candidates with a Master’s degree, or 6+ years for Ph.D. candidates.
- Expertise in probability, statistics, linear algebra, and machine learning.
- Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow, with experience using modern ML tooling (e.g., Hugging Face, vLLM).
- Experience building production-ready, scalable machine learning systems.
- Deep understanding of modern AI techniques in areas such as NLP, multimodal AI, speech (ASR), or computer vision.
- Strong publication record in top-tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or AAAI is preferred.
- Experience with model fine-tuning and reinforcement learning
- Track record of technical leadership on large-scale AI projects and the ability to guide full lifecycle model delivery—from research through evaluation and deployment.
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
- Minimum of a Master's degree including Computer Science, Electrical/Computer Engineering or related fields.
- 8+ years of industry experience in AI, NLP, Vision and ASR for Masters; 5+ years for Ph.D candidates.
- Solid expertise in Python programming, in-depth knowledge of deep learning.
- Expertise in PyTorch/TensorFlow, Hugging Face libraries.
- Hands-on experience in developing production-ready, scalable code.
- Strong publication record in leading conferences.
- Prior Experience in pre-training and fine-tuning (good to have).
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.








