> Markdown version of [/jobs/ext/4285339-senior-ai-ml-platform-engineer](https://www.wearedevelopers.com/jobs/ext/4285339-senior-ai-ml-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI/ML Platform Engineer

- **Company:** Medallia
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $148,500.0 - $221,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Software Quality, Data Security, Distributed Systems, Django Web Framework, Elasticsearch, Apache Hadoop, Identity and Access Management, Spring Framework, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, Tensorflow, Standard Sql, Azure Machine Learning, Software Engineering, Workflow Management Systems, Apache Spark, Amazon Virtual Private Cloud (VPC), AI Platforms, Kubernetes, Information Technology, Apache Kafka, Codebase, Machine Learning Operations, TensorRT, Data Delivery, Data Pipelines, KServe, Microservices
- **Published:** October 23, 2026
- **Apply:** https://diversityjobs.com/career/18731367/Senior-Ai-Ml-Platform-Engineer-Virginia-Mclean

## About the Role

* Eligibility Requirement: Due to compliance restrictions for AWS GovCloud environments, US Citizenship is required for this role. Candidates must be eligible to obtain and maintain access to these secure environments.
 * BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
 * 5+ years of software development in production environments using Python, Java, or Scala.
 * Demonstrated experience deploying and operating services on Kubernetes (K8s); familiarity with K8s-based deployment frameworks in
 * regulated environments.
 * Demonstrated experience with distributed systems: Spark, Hadoop, Kafka.
 * Demonstrated experience with Relational SQL including Postgres.
 * Demonstrated experience with code quality best practices and testing architectures on large codebases., * Familiarity with AWS services (EC2, S3, IAM, VPC, EKS, SageMaker) for cases where native AWS deployments are required outside the company's K8s framework.
 * Experience with AWS GovCloud or FedRAMP-compliant environments.
 * AWS Certified Machine Learning Specialty or Solutions Architect certification.
 * Experience with ML model serving platforms: TensorFlow Serving, TensorRT, Triton, KServe.
 * Experience with data pipeline and workflow management tools such as Airflow or Kubeflow.
 * Microservices development using Django or Spring framework.
 * Experience with NoSQL databases including ElasticSearch.

## Description

As a Senior AI/ML Engineer on the AI Platform team, you will architect and develop the building blocks of our next-generation AI products while spearheading our GovCloud migration initiative. You will work with cross-functional teams to deliver world-class AI capabilities to government and enterprise customers., * Lead the migration of our AI/ML platform services to AWS GovCloud, ensuring compliance, security, and performance standards.

 * Design and implement cloud-native ML infrastructure on AWS, including SageMaker, ECS, EKS, and Lambda.
 * Monitor, maintain, and optimize deployed models and ML pipelines in GovCloud environments.
 * Build and maintain secure data pipelines across national boundaries, adhering to FedRAMP requirements.
 * Collaborate with product and design teams to build innovative features for the Customer Experience space.
 * Architect scalable solutions for large-scale data processing made available to clients with high performance.
 * Design and implement APIs to power front-end applications.
 * Identify process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability.
 * Participate in a scheduled on-call rotation to maintain the availability and reliability of both internal platforms and customer-facing production systems.

Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.