Principle/Lead Forward Deployed Engineer at Uniphore

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Enterprise Software, B2BIndustries

Requirements

10+ years relevant experience in enterprise tech, B2B, or AI/technology consulting; proven ability leading complex engineering engagements and technical teams
Prior track record leading or working with Forward Deployed Engineering teams and scaling solution delivery in dynamic, client-facing environments
Mastery of AI solution architecture (multi-agent, RAG, SLM, LLM, multi-modal), enterprise integration patterns, data engineering and full-stack engineering across modern frameworks and cloud/devops environments
Significant experience designing and delivering solutions for enterprise AI in multiple domains or verticals
Exceptional communication and influencing skills with senior customers and internal stakeholders

Responsibilities

Own Multi-Customer Engagements: Lead e2e solution development for multiple high-stakes customer deployments; manage technical strategy, design quality, and roadmaps for Agentic AI rollouts at enterprise scale
Enterprise Architecture Leadership: Architect and validate Agentic AI solutions for large, complex enterprises across multiple industry verticals, ensuring robustness, scalability, security, and compliance
Team Leadership & Mentoring: Help build and guide cross-functional Forward 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, leveraging deep expertise in RAG, multi-agent orchestration, retrieval optimizations, SLM finetuning and enterprise AI architecture
Continuous Improvement: As needed, lead post-delivery optimization and adoption, establishing feedback loops from customers to product/platform teams and driving continuous improvement
Product & Engineering Partnership & Innovation: Partner with Product and Platform Engineering teams to provide structured feedback on functional and non-functional gaps, customer requirements and pain points. Work with these teams or co-develop or accelerate critical platform extensions and enhancements for customers
Best Practices, Playbooks & Whitepapers: Draft and publish best practices, playbooks, whitepapers and blog posts on Enterprise Agentic AI Innovations, Design, Optimization and Operations
Industry Evangelism: Represent Uniphore in 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

Skills

Key technologies and capabilities for this role

Agentic AIEnterprise ArchitectureSolution DevelopmentTeam LeadershipMentoringGenerative AIKnowledge AIEmotion AIScalabilitySecurityComplianceTechnical StrategyRoadmaps

Questions & Answers

Common questions about this position

What are the key responsibilities of this Principal/Lead Forward Deployed Engineer role?

Key responsibilities include owning multi-customer engagements by leading end-to-end solution development, providing enterprise architecture leadership for Agentic AI solutions, team leadership and mentoring, strategic customer partnerships, and driving innovation in areas like RAG and multi-agent orchestration.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of team leadership is expected in this role?

The role involves helping build and guide cross-functional Forward Deployed Engineering teams, coaching senior and junior engineers, and cultivating a culture of excellence, collaboration, and innovation.

What expertise makes a strong candidate for this position?

Strong candidates will have deep expertise in Agentic AI, RAG, multi-agent orchestration, retrieval optimizations, SLM finetuning, enterprise AI architecture, along with experience in leading enterprise-scale deployments, team mentoring, and customer partnership.

Uniphore

Automates customer interactions with AI solutions

About Uniphore

Uniphore specializes in conversational AI solutions that automate and improve customer interactions. Its main products include tools for conversational automation, analytics, and virtual assistants, which help businesses enhance their customer service operations, cut costs, and boost service quality. Uniphore's technology integrates with existing customer service systems to automate routine tasks and provide real-time insights into customer interactions, making it easier for service agents to respond quickly and personally. Unlike many competitors, Uniphore has a strong focus on the financial services sector, serving notable clients like BNP Paribas Wealth Management and PNB MetLife. The company's goal is to empower businesses to leverage AI for better customer engagement and operational efficiency, generating revenue through a subscription model that allows clients to scale their usage as needed.

Palo Alto, CaliforniaHeadquarters

2008Year Founded

$592.1MTotal Funding

SERIES_ECompany Stage

Data & Analytics, AI & Machine Learning, Financial ServicesIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Unlimited Paid Time Off

Paid Holidays

Stock Options

Risks

Integration challenges from acquisitions may disrupt existing operations and client services.

Over-reliance on new technologies like X-Stream may lead to technical failures.

Expansion into emotional AI may face ethical and privacy concerns, impacting reputation.

Differentiation

Uniphore integrates emotional AI to enhance customer interactions with emotional cues.

The company offers a Zero Data AI Cloud for secure, efficient data processing.

Uniphore's X-Stream platform accelerates RAG app development with unified knowledge architecture.

Upsides

Acquisitions of ActionIQ and Infoworks expand Uniphore's AI-powered offerings significantly.

Generative AI in U-Analyze provides deeper insights from text, voice, and video interactions.

Recognition on Deloitte Technology Fast 500 highlights Uniphore's rapid growth and innovation.

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