AI Solution Engineer – Platform

Groundswell

19h • $89,886 - $175,444 • Onsite

About The Position

This AI Solution Engineer focuses on AI/ML and data execution within the platform engineering branch, including data ingestion automation, model integration into the Command Center platform, and analytics feature development. This engineer works under the governance of a Solution Architect, contributing to sprint-based platform releases. This role requires on-site work in either Huntsville, AL or Northern Virginia (Washington, DC Metro Area). Limited telework may be permitted based on customer requirements and business needs.

Requirements

• Minimum 4 years of experience in data engineering, ML engineering, or analytics platform development
• Proficiency in Python, SQL, and at least one additional back-end language (Java, Scala, or Go); experience with data pipeline frameworks and relational/cloud data platforms (PostgreSQL, Snowflake, or equivalent)
• Experience integrating ML models into production platforms and APIs
• Familiarity with cloud-based analytics platforms, REST APIs, graph databases (Neo4j, Amazon Neptune, or equivalent), and data visualization tools
• Experience in sprint-based development environments with code review, version control (Git), and DevOps-oriented release processes
• Demonstrated DevOps practices: CI/CD pipeline design and maintenance (GitHub Actions, GitLab CI, Jenkins, or equivalent), containerization (Docker/Kubernetes), infrastructure-as-code, and automated testing/deployment workflows
• Candidate must be eligible to obtain and maintain a Top Secret/SCI security clearance
• Must be currently located in Huntsville, AL or the Washington, DC Metro area

Nice To Haves

• Experience with graph database modeling, entity resolution pipelines, or knowledge graph technologies (Neo4j, Amazon Neptune, TigerGraph, or equivalent) in production environments
• Familiarity with government cloud environments (FedRAMP, AWS GovCloud)
• Experience with data visualization libraries (D3.js, Plotly)
• Experience with infrastructure-as-code tools (Terraform, CloudFormation, or Pulumi) and monitoring/observability platforms

Responsibilities

• Integrate AI/ML models into the Command Center platform via APIs, graph database layers, and automated pipelines
• Develop and maintain data ingestion automation for new data sources directed by the Government
• Build analytics features and data processing modules per platform architecture standards
• Participate in sprint-based development cycles with code review, automated testing, and CI/CD deployment pipeline requirements
• Support interoperability interface development and documentation
• Maintain code quality, test coverage, and deployment documentation per platform standards
• Collaborate with the operations branch AI engineer on shared data pipeline components

Benefits

• Comprehensive medical, dental, and vision plans
• Flexible Spending Account
• 4% 401K Match (immediate vesting)
• Paid Time Off
• Tuition reimbursement, certification programs, and professional development
• Flexible work schedule
• On-site gym and childcare option

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed