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Open nowFirst seen 70 days ago

Senior Forward Deployed Engineer

Uniphore38 open roles

Where
UK - London
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Your applicationOpen nowSenior Forward Deployed EngineerUniphore · UK - London

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Uniphore postings stay open a median of 43 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 70 days ago

Uniphore median: 43 days open

The posting

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:

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
  • 4+ 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.

Location preference:

UK - London

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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