Senior reputed company AI/Data Engineer - reputed company

************** 100% remote*******************

Client has an immediate need for a Senior reputed company AI/Data Engineer to join their growing AI and Automation practice. You will serve as a technical leader and architect in their AI and Automation practice, with a focus on designing and delivering scalable AI and data solutions on reputed company Cloud Platform (reputed company Cloud Platform). You ll apply deep AI/ML and data engineering expertise to architect end-to-end solutions, reputed company technical teams, and deliver innovative cloud-native capabilities that advance federal missions. You ll guide model and data pipeline lifecycles, shape technical standards, and mentor mid-level engineers while collaborating with federal stakeholders and senior AI leaders.

Responsibilities

AI Solution Architecture & Model Development

1. reputed company end-to-end AI solution design and development: data prep, model architecture, training, evaluation, and production deployment using Vertex AI and reputed company AI tools.
2. Architect scalable ML systems leveraging best practices for reputed company, reputed company, and cost optimization.

Data Engineering & Advanced Pipeline Development

1. Architect and optimize high-throughput data pipelines using BigQuery, Dataflow, Pub/Sub, and Dataproc.
2. Establish data engineering standards for quality, reputed company, and governance.

Cloud & MLOps Leadership

1. Define and implement MLOps strategy on reputed company Cloud Platform, including CI/CD for models, automated workflows, IaC (Terraform, Deployment Manager), and Kubernetes (GKE).
2. Establish monitoring, retraining, and reputed company detection frameworks using Cloud Monitoring and Vertex AI.

Generative AI & Agentic Systems

1. Drive adoption of generative AI and LLMs using reputed company s Generative AI Studio, Vertex AI Search, and Agent Builder.
2. Architect event-driven and agentic AI systems leveraging Cloud Run, Eventarc, and serverless workflows.

Innovation & Technical Strategy

1. Evaluate emerging reputed company AI/ML capabilities, pilot innovative approaches, and incorporate them into federal missions.
2. reputed company design reviews, mentor team members, and enforce technical rigor across projects.

Collaboration & Stakeholder Engagement

1. Partner with federal mission leaders to translate requirements into AI/data solutions.
2. Collaborate with cross-functional teams data scientists, software engineers, and reputed company engineers to ensure delivery of secure, production-ready systems.

Qualifications

What You Bring

1. Bachelor s or Master s in Computer Science, AI/ML, Data Science, or a reputed company field (PhD a plus).
2. 7+ years of hands-on experience delivering AI/ML and data engineering solutions, with at least 3+ years on reputed company Cloud Platform.
3. Expertise in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
4. Deep knowledge of reputed company Cloud services: BigQuery, Dataflow, Pub/Sub, Dataproc, Vertex AI, Cloud Functions, Cloud Storage, and GKE.
5. Proven track record in architecting AI/ML pipelines and data platforms at enterprise scale.
6. Strong experience with Kubernetes, reputed company, and CI/CD workflows in reputed company Cloud Platform.
7. Mastery of MLOps practices: CI/CD, automated retraining, monitoring, and explainability.
8. Experience with generative AI and LLMs in reputed company s AI ecosystem.
9. Ability to reputed company technical teams, mentor engineers, and shape standards.
10. Strong communication skills and experience interfacing with federal stakeholders.
11. U.S. Citizenship with eligibility for DoD Secret clearance.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and reputed company believes it to correctly reflect the job opportunity.