Job Title: Principle/Lead Forward Deployed Engineer
Location: Remote – North America  
Department: Engineering       
Reports To: SVP  or Director of  Forward Deployed Engineering       

About Uniphore

Uniphore is The Business AI Company. We enable businesses to rapidly adopt, transform, and            unlock value through AI. Our platform allows business users to effortlessly harness agentic AI, securing enterprise knowledge grounded in proprietary data. Our core principles—composable, sovereign, and secure AI—are foundational to scaling transformative AI across leading enterprises globally.

Role Overview

As a Principle/Lead Forward Deployed Engineer, you are responsible for owning end-to-end Agentic AI solution design, development, and delivery for multiple enterprise customers, from      kickoff to go-live and optimization. You set the technical vision for strategic projects, architect robust solutions spanning domains and industries, and play the lead role as partner, consultant, and hands-on mentor to our customers and internal teams. Your expertise is not only technical, but also organizational: you drive standards, coach teams, and expand Uniphore’s engineering impact at scale.

Key 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.

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 record leading or working 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 integration patterns, data engineering and full-stack engineering across modern frameworks and cloud/devops environments.
• Domain Breadth: Significant experience designing and delivering solutions for enterprise AI in multiple domains or verticals.
• Consulting & Stakeholder Management: Exceptional communication and influencing skills with senior customers and internal 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 establishing engineering 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/Knowledge Graph communities.
• Full-stack engineering skills: SQL, Data Engineering, Python/Go/Java/Javascript, RAG, Vector databases, Retrieval Optimizations, SLM/LLM Fine-tuning, GPU/Infra Trends, Prompt Engineering, Agent and Agentic systems design and development.
• Exposure to platform and product engineering and strategy is a plus.