AI Solution Engineer - Platform

Overview

Who Are We? Groundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace?

Join us, where we'll make a greater impact together.

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.

• 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

• 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 (Postgre
  
  SQL, 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 Dev Ops-oriented release processes
• Demonstrated Dev Ops practices: CI/CD pipeline design and maintenance (Git Hub Actions, Git Lab 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

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

• 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

The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled.

At Groundswell, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A…