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:
Location: Hybrid, Palo Alto, CA
Department: Engineering
Reports To: Director, Forward Deployed Engineering
About Uniphore
Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform and immediately unlock value through AI. Inspired by the simplicity of consumer AI and with a deep understanding of the scalability and security required for businesses – we provide a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data.
Through our core principles of providing composable, sovereign and secure AI, we are committed to unlocking AI’s potential as a transformative force for businesses – with openness, trust, and scalability provided by an AI solution that is unmatched by any other.
Our Business AI Cloud is a complete AI platform to power the Agentic Enterprise. It unifies data, knowledge, models, and agents in a secure, composable stack — enabling business users to deploy AI agents instantly and IT leaders to scale trusted, enterprise-grade applications
About the Role
As a Senior Forward Deployed Engineer (Sr. FDE) at Uniphore, you will take technical ownership of strategic AI solution deployments and lead the architecture, prototyping, and delivery of customer-specific applications on our Agentic AI platform. This role demands a deep technical skillset, sharp solution thinking, and the ability to guide both customers and internal teams through complex, high-stakes AI projects.
You're not just coding - you're solving some of the most exciting challenges and problem solving in enterprise AI rollout, spanning enterprise data pipelines, multi-agent orchestration/workflows and RAG/SLM finetuning.
Responsibilities
Lead the technical solution design and implementation of large-scale Agentic and Knowledge AI solutions for key enterprise clients.
Act as the primary technical point of contact during solution development and post-deployment optimization.
Own and execute projects end-to-end: from integration design to agent workflows and full-stack delivery.
Customize platform components as needed—integrating new APIs, building reusable tooling, or extending platform logic.
Collaborate closely with cross-functional teams internally and with customers to ensure solution success.
Provide structured feedback to Platform Engineering and Product on feature gaps and customer pain points.
Contribute to technical best practices and accelerate solution delivery through reusable assets, frameworks, and documentation.
Champion observability, monitoring, versioning and telemetry to ensure trustworthy and auditable AI agents.
Stay current on RAG, LLM/SLM advancements, Agentic AI tooling, vector/graph databases, retrieval optimizations, multi-modal systems, evaluation frameworks, GPU/Infra trends, fine tuning techniques, security/guardrails and broader landscape of Enterprise & Agentic AI.
Qualifications
Undergraduate, master’s degree or Phd in Computer Science or Data Science
6–10+ years of experience in engineering, with 2+ years in customer-facing or field roles.
Proven success building and deploying AI/ML or data-intensive applications in production.
Deep full-stack development skills (Python, Node.js/Go, React/Vue) and DevOps experience (Docker, K8s, CI/CD).
Expertise in building data pipelines and integrating with enterprise systems (REST, Python, SQL, GraphQL, Webhooks etc).
Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI)
Knowledge of SLM Finetuning and Distillation is big advantage.
Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions is a huge advantage.
Ability to translate ambiguous customer needs into actionable engineering plans.
Strong leadership, mentoring, and project ownership abilities.
Excellent communication and collaboration across technical and business stakeholders.
Hiring Range:
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:
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.
Top Skills
What We Do
Uniphore is the global leader in Conversational Service Automation (CSA), which combines the power of artificial intelligence, automation technology and machine learning. Uniphore is disrupting an outdated customer service model and bridging the gap between humans and machines by focusing on conversations. We make it possible for every voice, on every call, to be truly heard.
