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Senior Staff Forward Deployed Engineer

Orby

London, England, United KingdomFull-timeNo compensation foundPosted 3mo agoVerified open 4 days ago

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At a glance

Compensation
No compensation found
Location
London, England, United Kingdom
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Orby is hiring a Senior Staff Forward Deployed Engineer. Uniphore, a leading B2B AI-native company, seeks a Senior Staff Forward Deployed Engineer in London to lead end‑to‑end solution development, architecture, and standards for high‑stakes customer deployments, translating ambiguous requirements into structured engineering plans and guiding cross‑functional teams.

Key focus areas include Lead end‑to‑end solution development for multiple high‑stakes customer deployments, managing technical strategy, design quality, and roadmaps for Agentic AI rollouts, Serve as primary technical point of contact from integration design through post‑deployment optimisation, and Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria.

Successful candidates bring 8–12+ Years Engineering Experience, 3+ Years Customer-Facing Experience, and BS/MS/PhD In CS/Data Science. Important skills include Solution Development, Technical Strategy, Design Quality, Roadmaps For Agentic AI Rollouts, Integration Design, and Post-Deployment Optimisation. Preferred (not required): SLM Fine-Tuning, SLM Distillation, Agentic AI Platforms, and Agentforce.

Skills & qualifications

RequiredNice to have

Skills

Solution DevelopmentTechnical StrategyDesign QualityRoadmaps for Agentic AI RolloutsIntegration DesignPost-Deployment OptimisationTranslating Ambiguous RequirementsCustomise Platform ComponentsAPIToolingBespoke LogicArchitect Robust Agentic AI SolutionsScalable Agentic AI SolutionsCompliant Agentic AI SolutionsMulti-Agent OrchestrationRAG PipelinesObservabilityTelemetryAuditable AI StandardsBuilding Reusable FrameworksMaintaining Reusable FrameworksBuilding Asset LibrariesMaintaining Asset LibrariesGuiding Cross-Functional TeamsCoaching EngineersStructured Product FeedbackPythonNode.jsGoReactVueSQLRESTGraphQLDevOpsDockerKubernetesCI/CDMajor Cloud PlatformsLLMsPrompt EngineeringVector DBsAgentic Orchestration FrameworksMCPSalesforceSAPExcellent CommunicationMentorship CapabilityCollaborative Team-First MindsetSLM Fine-TuningCommunication With Technical StakeholdersCommunication With Executive StakeholdersCoachingCustomising Platform ComponentsExtending Platform ComponentsArchitecting Scalable AI SolutionsArchitecting Compliant AI SolutionsCultivating ExcellenceCultivating CollaborationCultivating InnovationSLM DistillationAgentic AI PlatformsAgentforceCopilot StudioGDPREU AI ActSOC 2HIPAALangChainKnowledge GraphRoadmapsAgentic AI RolloutsStructured Engineering PlansReusable FrameworksAsset LibrariesBuilding Cross-Functional TeamsProduct FeedbackPlaybooksBest PracticesTechnical Blog PostsDeploying AI/ML Applications in ProductionCloud PlatformsTechnical CommunicationExecutive CommunicationCommunicationCollaborationDistillationKnowledge Graph CommunitiesKnowledge GraphsAI Compliance (GDPR, EU AI Act, SOC 2, HIPAA)Agentic OrchestrationCollaborative MindsetAI ML DeploymentRAG

Qualifications

8–12+ Years Engineering Experience3+ Years Customer-Facing or FDE RolesProven Track Record Deploying AI/ML or Data-Intensive Applications in ProductionBS/MS/PhD in Computer Science, Data Science or Related Field

Full 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:

Responsibilities

Customer Delivery

  • Lead end to end solution development for multiple high-stakes customer deployments; manage technical strategy, design quality, and roadmaps for Agentic AI rollouts at enterprise scale.

  • Primary technical point of contact from integration design through to post-deployment optimisation

  • Translate ambiguous requirements into structured engineering plans with clear milestones and success criteria

  • Customise and extend platform components—APIs, tooling, and bespoke logic

Architecture & Standards

  • Architect robust, scalable, and compliant Agentic AI solutions across industries

  • Lead multi-agent orchestration, RAG pipelines, and LLM/SLM integration design

  • Champion observability, telemetry, and auditable AI standards

  • Build and maintain reusable frameworks and asset libraries

Team & Product

  • Help build and guide cross-functional Forward Deployed Engineering teams; coach senior/junior engineers, and cultivate a culture of excellence, collaboration, and innovation.

  • Provide structured product feedback to Platform Engineering on feature gaps and pain points

  • Contribute to playbooks, best practices, and technical blog posts

Qualifications

Required

  • 8–12+ years engineering experience; 3+ years in customer-facing or FDE roles

  • Proven track record deploying AI/ML or data-intensive applications in production

  • Strong full-stack skills: Python, Node.js/Go, React/Vue, SQL, REST/ GraphQL

  • DevOps proficiency : Docker, Kubernetes, CI/CD, and major cloud platforms

  • Expertise in LLMs, Prompt Engineering, Vector DBs, RAG pipelines, and Agentic orchestration frameworks

  • Agentic / Integrations : MCP, Salesforce / SAP / Other

  • Excellent communication with both technical and executive stakeholders

  • Mentorship capability and collaborative team-first mindset

  • BS / MS / PhD in Computer Science, Data Science, or related field

Preferred

  • SLM fine-tuning and/or distillation experience

  • Hands-on with dedicated Agentic AI platforms (e.g. Agentforce , Copilot Studio)

  • Knowledge of AI compliance requirements: GDPR, EU AI Act, SOC 2, HIPAA

  • Open-source or research contributions to LangChain , RAG, or Knowledge Graph communities

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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