At a Glance
- Tasks: Lead high-stakes AI deployments and develop innovative engineering solutions.
- Company: Join a forward-thinking tech company focused on AI excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and innovation.
- Why this job: Make a real impact in AI while mentoring the next generation of engineers.
- Qualifications: 8+ years in engineering with strong full-stack skills and customer-facing experience.
The predicted salary is between 80000 - 100000 £ per year.
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
- 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 Qualifications
- 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, SOC2, HIPAA.
- Open‑source or research contributions to LangChain, RAG, or Knowledge Graph communities.
Location Preference
UK – London
Equal Opportunity Statement
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.
Senior Staff Forward Deployed Engineer employer: Uniphore Technologies U.K. Limited
Uniphore is an exceptional employer that fosters a culture of innovation and collaboration, particularly for the Senior Staff Forward Deployed Engineer role in London. With a commitment to employee growth through mentorship and structured feedback, we offer a dynamic work environment where your contributions directly impact high-stakes customer deployments. Enjoy the unique advantage of working in a vibrant city while being part of a diverse team dedicated to pushing the boundaries of AI technology.
Contact Details:
Uniphore Technologies U.K. Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Staff Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Staff Forward Deployed Engineer role.
✨Tip Number 2
Prepare for those interviews by practising common technical questions and scenarios related to AI/ML deployments. We recommend doing mock interviews with friends or using online platforms to get comfortable. Remember, confidence is key!
✨Tip Number 3
Showcase your expertise! Create a portfolio or GitHub repository highlighting your projects, especially those involving LLMs and orchestration frameworks. This gives potential employers a taste of your skills and how you can contribute to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Staff Forward Deployed Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI/ML deployments and customer-facing roles. We want to see how your skills align with the responsibilities listed in the job description!
Showcase Your Technical Skills:Don’t hold back on detailing your full-stack skills and DevOps proficiency. We’re looking for someone who can hit the ground running, so make it clear how your expertise in Python, Node.js, and cloud platforms will benefit us.
Communicate Clearly:Since you’ll be interacting with both technical and executive stakeholders, it’s crucial to demonstrate your communication skills. Use straightforward language and provide examples of how you've successfully conveyed complex ideas in the past.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Uniphore Technologies U.K. Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Node.js, and Kubernetes. Brush up on your full-stack skills and be ready to discuss how you've used these tools in past projects.
✨Prepare for Customer-Facing Scenarios
Since this role involves customer delivery, think of examples where you've successfully managed client expectations or delivered high-stakes projects. Be ready to explain how you translate ambiguous requirements into clear engineering plans.
✨Showcase Your Leadership Skills
This position requires mentoring and guiding teams, so prepare to discuss your experience in leading cross-functional teams. Share specific instances where you’ve fostered collaboration and innovation among engineers.
✨Understand AI Compliance Standards
Familiarise yourself with AI compliance requirements like GDPR and the EU AI Act. Be prepared to discuss how you’ve ensured compliance in previous roles, as this knowledge will be crucial for the position.
