Uniphore
Senior Staff Forward Deployed Engineer
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Uniphore
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.
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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.
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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.
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