Principal Cloud AI Platform Engineer

About the Position

We are seeking a Principal Cloud AI Platform Engineer to lead the deployment of bespoke AI solutions for telecom customers in AWS environments. The role sits between a Lead Engineer and Solution Architect. You will take solutions from prototype or development stage through to secure, production-ready deployment within customer-controlled cloud environments, primarily AWS. This involves more than deploying an application. You will need to understand each customer’s cloud architecture, security policies, networking restrictions, data requirements and operational processes, and then adapt the solution to work within those constraints.

Responsibilities

• Own the end-to-end deployment of bespoke AI, GenAI and agentic AI solutions into customer cloud environments.
• Assess customer AWS environments, including accounts, VPCs, IAM policies, networking, private endpoints, firewalls, DNS, proxies and environment separation.
• Identify deployment constraints, dependencies and security requirements early, and agree a practical implementation approach with customer teams.
• Design or contribute to the target architecture across compute, storage, networking, databases, APIs, security, observability and system integrations.
• Customise LLM-powered and agentic AI solutions to meet customer-specific telecom use cases, workflows and data requirements.
• Configure and adapt prompts, AI agents, tools, workflows, knowledge bases, RAG pipelines, model integrations and guardrails.
• Package and deploy applications using containers, Kubernetes, serverless services or virtual machines, depending on the customer environment.
• Build and maintain Infrastructure as Code and automated deployment pipelines using tools such as Terraform, CloudFormation, CDK and CI/CD platforms.
• Integrate solutions with customer systems, including OSS/BSS platforms, data lakes, CRM systems, ticketing tools, network platforms, identity services and internal APIs.
• Ensure deployments meet requirements around access control, encryption, privacy, audit logging, data residency, vulnerability management and software approval.
• Plan for production needs such as scalability, resilience, backup, disaster recovery, monitoring, alerting, supportability and cloud cost management.
• Troubleshoot issues across the cloud, application, network, data and AI layers.
• Produce practical documentation, including architecture diagrams, deployment guides, configuration details, runbooks and handover materials.
• Support customer workshops, architecture reviews, security reviews, testing, production readiness and operational handover.
• Help establish reusable deployment patterns, reference architectures and engineering standards for future customer projects.

Requirements

• Must have:

  • Own the end-to-end deployment of bespoke AI, GenAI and agentic AI solutions into customer cloud environments.
  • Assess customer AWS environments, including accounts, VPCs, IAM policies, networking, private endpoints, firewalls, DNS, proxies and environment separation.
  • Identify deployment constraints, dependencies and security requirements early, and agree a practical implementation approach with customer teams.
  • Design or contribute to the target architecture across compute, storage, networking, databases, APIs, security, observability and system integrations.
  • Customise LLM-powered and agentic AI solutions to meet customer-specific telecom use cases, workflows and data requirements.
  • Configure and adapt prompts, AI agents, tools, workflows, knowledge bases, RAG pipelines, model integrations and guardrails.
  • Package and deploy applications using containers, Kubernetes, serverless services or virtual machines, depending on the customer environment.
  • Build and maintain Infrastructure as Code and automated deployment pipelines using tools such as Terraform, CloudFormation, CDK and CI/CD platforms.
  • Integrate solutions with customer systems, including OSS/BSS platforms, data lakes, CRM systems, ticketing tools, network platforms, identity services and internal APIs.
  • Ensure deployments meet requirements around access control, encryption, privacy, audit logging, data residency, vulnerability management and software approval.
  • Plan for production needs such as scalability, resilience, backup, disaster recovery, monitoring, alerting, supportability and cloud cost management.
  • Troubleshoot issues across the cloud, application, network, data and AI layers.
  • Produce practical documentation, including architecture diagrams, deployment guides, configuration details, runbooks and handover materials.
  • Support customer workshops, architecture reviews, security reviews, testing, production readiness and operational handover.
  • Help establish reusable deployment patterns, reference architectures and engineering standards for future customer projects.

• Nice to have:

  • Previous experience delivering technology solutions for telecom operators or telecom vendors.
  • Familiarity with telecom OSS/BSS systems, network operations, service assurance, customer care, field operations or network data.
  • Experience with AWS multi-account environments, landing zones, Control Tower and Service Control Policies.
  • Experience deploying into regulated, restricted, private-cloud or disconnected environments.
  • Familiarity with MLOps, model hosting, GPU workloads and production AI monitoring.
  • Relevant AWS, Kubernetes, security or architecture certifications are useful, but practical delivery experience is more important.

We Offer

• Remote work from Romania
• Competitive salary
• Opportunity to work with cutting-edge AI technologies
• Professional development opportunities

About the Company

Luxoft is a global leader in digital transformation and technology services, empowering businesses to innovate and thrive in the digital age. With a focus on delivering high-quality solutions, Luxoft is committed to excellence and customer satisfaction.

Apply Now

Apply for the Principal Cloud AI Platform Engineer position in Remote Romania.

Apply Here