MLOPS ENGINEER (AWS Bedrock/LLM/Agentic AI) - UN-client | 40-day initial | Fully Remote

SENIOR MLOPS ENGINEER (AWS Bedrock/LLM/Agentic AI) - UN OPPORTUNITY - REMOTE (50/100%, 40 days initial)

For our UN client, we are looking for an experienced:

• Senior MLOps Engineer - AWS/Generative AI

• 100% remote, supporting a UN agency in Rome

• Start: To be agreed

• Two complementary AI projects, each listing 40 days; total billable effort to be confirmed

• 50% per project; one consultant may cover both projects at 100% allocation

• At least 80% overlap with 08:30-17:00 CEST

TASKS

• Productionize LLM, RAG and specialist agent workflows for data analysis, visualization, analytical report drafting and quality assurance.

• Package and deploy workflows using Amazon Bedrock/AgentCore and approved orchestration patterns.

• Implement prompt, agent and model configuration management with versioning, promotion, rollback and traceability across development, QA and production.

• Operationalize knowledge-base ingestion, indexing, synchronization, retrieval and re-ranking using S3, vector stores and Bedrock knowledge services.

• Build an advisory AI layer for data-quality findings, explanations, root-cause guidance and correction recommendations.

• Implement structured output schemas, validation, grounding and evidence presentation, preserving deterministic validation and mandatory human review.

• Ensure AI cannot approve or reject datasets, modify production records or autonomously trigger writeback.

• Create evaluation datasets and regression tests for accuracy, grounding, consistency and unsafe or unsupported recommendations.

• Apply Bedrock guardrails against prompt injection, sensitive-data exposure and unauthorized tool or data-source access.

• Monitor usage, cost, latency, errors, retrieval quality and workflow success, with thresholds and alerts.

• Log required AI inputs, outputs, configuration versions and operational metadata; implement fallback behaviour when services are unavailable.

• Implement model upgrade and deprecation procedures, release approvals and rollback controls.

• Optimize compute consumption, scalability and performance.

• Provide evaluation reports, configuration inventories, runbooks, audit-ready documentation and knowledge transfer.

SKILLS

• Minimum 4 years of hands-on AWS project experience.

• Experience with Amazon SageMaker/Bedrock, AWS Step Functions, ECS and AgentCore.

• Practical experience productionizing LLM, RAG or agentic workflows on Amazon Bedrock or comparable governed enterprise platforms.

• Strong Python programming and modern API development.

• Knowledge of Docker, Kubernetes, Kubeflow and MLflow.

• Experience with CI/CD tools and DevSecOps practices.

• Infrastructure as Code using Terraform, CloudFormation or equivalent.

• Model monitoring, observability and performance optimization.

• Knowledge of data engineering tools such as Spark, Airflow and Kafka.

• Experience operating MLOps life cycles across development, QA and production environments.

• Enterprise security, privacy, data governance and Responsible AI.

• Ability to produce audit-ready documentation and transfer knowledge to technical and business stakeholders.

• Relevant Bachelor's/Master's degree in Computer Science, Data Science, Engineering or a related field.

• Strong written and spoken English.

International competition - please provide a competitive daily rate in EUR.

Direct applicants only - no agencies or intermediaries, please.

TO DO - to apply, please send:

1. A 3-4 sentence introduction explaining how your experience matches this specific role.

2. Your CV in Word/DOC format , clearly highlighting your relevant hands-on AWS, Bedrock and production LLM/RAG experience.

3. Your all-inclusive daily rate in EUR for fully remote work.

4. Your availability/notice period and earliest possible start date 

5. Your capacity for one project at 50% or both projects at 100% allocation.

6. Country of residence and confirmation of working-hours overlap with Rome time.

Deadline: ASAP - early applications encouraged.

Please send your application to (see below)