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Salary
$226k – $311k per year
Location
In office (Palo Alto)
Seniority
Principal · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Uniphore is an enterprise artificial intelligence technology company headquartered in Palo Alto, California, and founded in 2008. The company provides a business AI platform that integrates data, knowledge, and models to automate front-office and back-office workflows using conversational AI, speech analytics, and agentic AI solutions. It serves over 2,000 businesses across more than 20 countries, focusing on large-scale deployments in industries such as financial services, healthcare, telecommunications, and retail.

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 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:

Key Responsibilities

  • Own Multi-Customer Engagements: Lead e2e solution development for multiple high-stakes customer deployments; manage technicalstrategy, design quality,and roadmaps for Agentic AI rollouts at enterprise scale.

  • Enterprise Architecture Leadership: Architect and validateAgentic AIsolutions for large, complex enterprises across multiple industry verticals, ensuring robustness, scalability, security, and compliance.

  • Team Leadership & Mentoring: Help build and guide cross-functionalForward Deployed Engineering teams; coach senior/junior engineers, and cultivate a culture of excellence, collaboration, and innovation.

  • Strategic Customer Partnership: Serve as principal AI solution design partner and trusted consultant to senior customer stakeholders; translate ambiguous needs into actionable engineering and business outcomes.

  • Solution Design Standards: Develop and champion technical best practices, reusable frameworks, and asset libraries to accelerate high-quality solution deployment.

  • Innovation Ownership: Drive ongoing innovation, leveragingdeep expertisein RAG, multi-agent orchestration, retrievaloptimizations, SLMfinetuning and enterprise AI architecture.

  • Continuous Improvement: As needed, lead post-delivery optimization and adoption, establishingfeedback loops from customers toproduct/platform teamsand drivingcontinuous improvement.

  • Product& EngineeringPartnership & Innovation: Partner with Product and Platform Engineering teams toprovide structuredfeedback on functional and non functionalgaps, customer requirementsand pain points. Work with these teams or co-develop oraccelerate critical platform extensions and enhancements for customers.

  • Best Practices, Playbooks & Whitepapers: Draft and publish best practices, playbooks, whitepapers and blog postson Enterprise AgenticAI Innovations, Design, Optimizationand Operations.

  • Industry Evangelism: Represent Uniphorein industry events, thought leadership forums, and strategic technical partnerships.

  • Governance and Auditable AI: Set standards for observability, monitoring, and robust telemetry across customer solutions to ensure trustworthy and auditable AI agents.

Qualifications

  • Experience: 10+ years relevant experience in enterprise tech, B2B, or AI/technology consulting; proven ability leading complex engineering engagements and technical teams.

  • Leadership: Prior track recordleading orworking with Forward Deployed Engineering teams and scaling solution delivery in dynamic, client-facing environments.

  • Technical Depth: Mastery of AI solution architecture (multi-agent, RAG, SLM, LLM, multi-modal), enterprise integrationpatterns, data engineeringand full-stack engineering across modern frameworks and cloud/devopsenvironments.

  • Domain Breadth: Significant experiencedesigning and delivering solutions for enterprise AI in multiple domains or verticals.

  • Consulting & Stakeholder Management: Exceptional communication and influencing skills withsenior customers andinternal stakeholders; able to balance technical rigor and business priorities.

  • Education: BS/MS/PhD in Computer Science, Data Science, or related discipline.

Desired Skills:

  • Advanced understanding of regulatory and compliance requirements for AI in business settings.

  • Experience establishingengineering processes, quality standards, and best practices across distributed teams.

  • Thought leadership in the AI agentic ecosystem or published work/contributions to OpenAI, LangChain/LangGraph, RAG/KnowledgeGraph communities.

  • Full-stack engineering skills: SQL, Data Engineering, Python/Go/Java/Javascript, RAG, Vectordatabases, RetrievalOptimizations, SLM/LLMFine-tuning, GPU/InfraTrends, Prompt Engineering, Agent and Agentic systems design and development.

  • Exposure to platform andproduct engineeringand strategy is a plus.

Hiring Range:

$226,100 - $310,900 - 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.

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

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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