Lead AI Platfom Engineer - Remote Portugal

Lead AI Platform Engineer (AWS Bedrock/Step Functions) - Full Remote Portugal

ABOUT THE OPPORTUNITY

We are partnering with an innovative international technology company focused on building scalable AI-native platforms that support high-performance digital products used worldwide. This is an opportunity for a senior engineering leader who wants to shape the future of enterprise AI infrastructure, autonomous agent workflows, and cloud-native distributed systems.

As a Lead AI Platform Engineer, you will work closely with executive leadership and engineering teams to define and implement the architecture behind advanced AI solutions. The role combines hands-on technical leadership with platform strategy, reliability engineering, and internal developer experience improvements. You will play a critical role in enabling secure, scalable, and production-ready AI ecosystems while mentoring engineering teams and driving technical excellence across the organization.

This is a fully remote position based in Portugal, with occasional national and international travel requirements estimated at 0%–15%.

PROJECT & CONTEXT

The project focuses on designing and evolving a modern AI platform ecosystem powered by AWS cloud technologies and agent-based architectures. The engineering environment is highly collaborative, fast-paced, and centered around cloud automation, observability, and AI workload orchestration.

You will lead initiatives involving AWS Bedrock AgentCore, AWS Step Functions, multi-tenant AI infrastructure, vector databases, and automated CI/CD pipelines for AI workloads. The platform supports intelligent agent execution, evaluation pipelines, retrieval-augmented generation (RAG), and internal developer platforms (IDP).

The stack includes AWS Networking and IAM, Terraform v1.x, GitHub Actions, Kubernetes, Docker, Python 3.x, Bash scripting, JavaScript/TypeScript, OpenSearch, Pinecone, Milvus, Datadog, CloudWatch, LangSmith, Vault, Artifactory, Backstage, and policy enforcement frameworks such as OPA and Cedar.

English is required for daily communication with international stakeholders and distributed engineering teams.

WHAT WE'RE LOOKING FOR (Required)

• Strong experience designing and operating cloud-native platforms on AWS
• Proven expertise with AWS Bedrock AgentCore and AWS Step Functions in production environments
• Experience building custom Agent/Tool Gateways and AI orchestration workflows
• Advanced knowledge of Infrastructure as Code using Terraform v1.x
• Hands-on experience with CI/CD automation using GitHub Actions
• Strong containerization and orchestration experience with Docker and Kubernetes
• Experience building scalable microservices architectures
• Solid understanding of AI observability, monitoring, and tracing tools such as Datadog, CloudWatch, or LangSmith
• Experience with vector databases including OpenSearch, Pinecone, or Milvus
• Strong understanding of RAG architectures and AI knowledge retrieval strategies
• Experience implementing secure multi-tenant environments and IAM policies
• Familiarity with policy and governance frameworks such as OPA or Cedar
• Strong scripting and automation skills using Python 3.x, Bash, or JavaScript/TypeScript
• Experience collaborating with senior stakeholders and translating technical concepts into business value
• Excellent communication skills in English (written and spoken)

NICE TO HAVE (Preferred)

• Experience with Internal Developer Platforms (IDP) and developer enablement initiatives
• Familiarity with Backstage for platform engineering and developer experience improvements
• Experience implementing AI model evaluation frameworks (Evals)
• Knowledge of non-deterministic AI agent behavior analysis and reliability engineering practices
• Previous experience mentoring engineering teams or acting as a technical lead
• Exposure to enterprise security tooling such as Vault and Artifactory
• Experience working in distributed international teams
• Portuguese language skills are considered a plus
• Experience supporting large-scale AI-native or autonomous agent ecosystems