Forward Deployed Engineer - Lead Platform Engineer (Generative AI)

Location: London, United Kingdom; customer-premises work and travel may be required.

Company

hirify.global operates and transforms mission-critical technology systems for leading businesses, using cloud and AI-enabled technologies to support enterprise innovation.

What you will do

• Design and build target-state cloud platforms across Azure, GCP, and AWS.
• Establish Kubernetes platforms, GitOps delivery with ArgoCD, and self-service developer frameworks using Terraform and Helm.
• Architect platforms for generative AI systems, including LLM hosting, LLM gateways, and agentic workflows.
• Lead application modernization, microservices migrations, API integrations, and platform connectivity.
• Implement platform security, policy-as-code, identity controls, certificate and DNS management, and secure endpoint access.
• Provide architectural oversight, define reusable patterns, mentor engineers, and translate enterprise requirements into roadmaps for senior stakeholders.

Requirements

• 8–10+ years of experience in enterprise or platform architecture and client-facing platform transformations.
• Deep hands-on expertise with Azure, GCP, and AWS, including landing zones, networking, IAM, cost, and governance controls.
• Strong experience with Kubernetes, ArgoCD, Terraform, Helm, CI/CD pipelines, Git-based workflows, and microservices or API architectures.
• Hands-on experience with end-to-end platform security, including CI/CD security tooling, Kubernetes segmentation, managed identities, access controls, secrets management, and compliance engineering.
• Experience with SSL/TLS certificate management, DNS administration, secure network access, and observability tools such as Grafana, Prometheus, and OpenTelemetry.
• Experience deploying and monitoring generative AI systems in production, including LLM hosting, LLM gateways, and MLOps/LLMOps practices.

Nice to have

• Experience with agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Knowledge of LLM governance, data privacy, guardrails, and responsible-use controls.
• Experience defining architectural governance, security standards, and risk frameworks.
• Degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent professional experience.

Culture & Benefits

• Flexible, supportive, and hybrid-friendly work culture.
• Well-being programs supporting financial, mental, physical, and social health.
• Career development through personalized goals, continuous feedback, coaching, and hands-on experience.
• Access to certification and learning opportunities from Microsoft, Google, and Amazon.
• Inclusive culture focused on belonging, empathy, continuous learning, and shared success.