Jobgether
Senior Forward Deployed Engineer (Remote Build)
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Senior Forward Deployed Engineer (Remote Build)
Senior Forward Deployed Engineer (Remote Build) – United Kingdom (Remote)
Partnership Opportunity with a Global Enterprise AI Platform
This position is listed on behalf of Jobgether on behalf of our partner, who manages all applications and next steps.
About the Role
The Senior Forward Deployed Engineer plays a pivotal role at the intersection of engineering, customer delivery, and applied AI, partnering directly with enterprise clients to transform complex operational challenges into reliable, production-grade systems. You will architect, deploy, and refine integrations, automations, and AI workflows that connect legacy enterprise systems with modern cloud platforms—driving tangible business value in fast-moving, ambiguous environments.
Expected to operate with full technical ownership across the entire lifecycle (discovery, design, deployment, and iteration), your work will ensure scalability, security, and measurable impact. A key distinction of this role is translating customer insights into reusable engineering frameworks, standardising best practices for scaling deployments globally.
This is a high-impact opportunity in a remote-first, collaboration-driven team tackling enterprise AI at scale. Experience in HRIS, payroll, multi-tenant SaaS, or enterprise integrations is highly valued.
Key Responsibilities
Customer & Technical Delivery
- Lead discovery sessions to define business challenges, success metrics, and deliverables, ensuring alignment with a "Definition of Done" for every project.
- Obtain ownership of end-to-end solutions—designing APIs, event-driven systems, data integrations, and AI workflows while ensuring seamless integration between enterprise systems and proprietary platforms.
- Collaborate closely with stakeholders (Product, Sales, Customer Success) to articulate technical requirements, refine architecture, and advocate for scalable solutions.
AI & System Deployment
- Build and maintain low-latency AI systems using LLMs, retrieval-augmented generation (RAG), agent workflows, and evaluation frameworks, ensuring reliable, secure, and auditable outputs.
- Deploy solutions with observability, automated testing, and guardrails for performance, security, and fairness, while managing incident response and iterative improvement.
- ESTABLISH metrics pipelines, including KPIs, regression tests, and performance benchmarks, to validate system quality and ROI.
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Engineering Leadership & Knowledge Sharing
- Translate field insights into standardised patterns, playbooks, and best practices, feeding back into platform and product improvements across global teams.
- Advocate for self-service and developer ergonomics, simplifying onboarding for broader engineering teams.
- Champion design principles (monorepos, modularity, security by def—default) to ensure future scalability and maintain ability.
Autonomy & Work Environment
- Remotely deploy in customer environments, navigating ambiguity to deliver clear architectural proposals and scalable solutions autonomously.
- Effectively communicate with both technical and non-technical stakeholders (e.g., CDOs, IT leadership) to identify constraints and trade-off risk versus value.
- Work in async-first culture with global teams, balancing measured context with proactive communication.
Experience & Requirements
Technical Expertise
✔ 5+/5 years shipping production-grade systems—back-end, full-stack, or infrastructure-as-code (IaC) ownership. ✔ Mastery of integration architectures:
- Micro-services, Kubernetes, cloud-native platforms (AWS/GCP/Azure).
- Authentication (OAuth2, service account management), event streaming (Kafka, Pulsar), and webhook-based systems.
- Data pipelines, modelling, and resilience testing (chaos engineering, failure injection). ✔ Applied AI/LLM production experience:
- Engines and agent design, RAG, prompt engineering, evaluation frameworks.
- Experience with private LLMs, on-prem integrations, or vector DBs (Milvus/Weaviate) is a plus. ✔ Security mindfulness:-handling PII, compliance frameworks (GDPR, SOC2), OAuth, and enterprise security controls. ✔ Multi-language proficiency (Python, Go, Java/JS) + strong debugging and troubleshooting skills.
Soft & Strategic Skills
✔ Demonstrated ability translating unknown problems to structured solutions under tight deadlines. ✔ Cross-functional relationship building—bridging devs, buyers, and executives while keeping dependencies visible. ✔ Progressive ownership: Self-starting with{little supervision, addressing tactical and strategic roadblocks alike. ✔ Enterprising mindset: Identifying unintuitive constraints (opportunities in legacy tech), experimenting and iterating before delivery.
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Perks, Culture & Impact
Flexible & Supportive Work Model
- Fully remote-first: No commute, partnered with a flexible timezone for global collaboration.
- Async-first culture: Guided by outcomes, not presence; own your rhythms gracefully.
- Contained roadblocks: Clarity in project scope bought and resisted requests for limitless resources.
Compensation & Growth
- Competitive salary with equity/options based on leverage impact.
- Learning budget: (Unlimited L&D)Gary for courses, certs, books, tools—your own future is your no. 1 metric.
- Universal perks: Generous paid parental leave, global health/eurocare via Pro Tat/Org, mental health support programs.
Scale & Purpose
- Join a high-trust hybrid org with strong graphic ownership where engineers feel seen and shadow the line between TSPOs habit + customer empathy.
- Work on evergreen challenges: Capable myriad outsourcing integration dilemmas, OFAC-binding consolidation projects, or AI-powered service automations.
- Potential to shape product direction and remain crucially involved beyond project launch.
How Jobgether’s Matching Process Works
Jobgether uses AI-assisted selection to streamline your application:
- Match analysis: System flags signals aligned with role-trust pseudonym technical requirements to rank candidates automatically.
- Shared shortlist presented to our partner full immersed unimpaired discretion.
- Partner handles interviews beyond pre-sign processing—our recruitment team never decides your fate.
By applying, you consent to share personal details (data protection, GDPR/compliance) with employers for evaluation. AI assistants assist the team but never make final decisions independently.
Equal opportunity: Jobgether respects DIsability and neurodiveristy; promote[s] access Chair on hiring terms.
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