AI Solution Engineer – Platform

Reposted 5 Days Ago
2 Locations
Remote
90K-175K Annually
Mid level
Information Technology • Consulting
The Role
The AI Solution Engineer works on AI/ML model integration, data ingestion automation, and analytics feature development within a platform engineering team, collaborating on sprint-based releases and adhering to platform standards.
Summary Generated by Built In

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.
 


What You'll do:

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.

Key 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

Required Qualifications:

  • 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

Preferred Qualifications:

  • 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


Skills:


Certification:

Why You’ll Never Want to Leave:

  • 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 reasonable estimate of the current range is:

$89,886.00 - $175,444.00

NOTEGroundswell does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Groundswell, and Groundswell will not be obligated to pay a placement fee.

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.

Read a copy of the Company’s Non-Discrimination Policy Statement.
Additional Resources:

  • EO 13496 Notification of Employee Rights under NLRA

  • Know your rights: Workplace Discrimination is Illegal
     

Disability Accessibility Accommodation: If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at [email protected] or 703-639-1777.

Skills Required

  • 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, 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
  • 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
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The Company
McLean, Virginia
360 Employees
Year Founded: 2003

What We Do

Groundswell is a highly specialized systems integrator focused on bringing modern ERP, low-code solutions, and platforms to the most complex challenges facing federal agencies. Specializing in enterprise-scale transformation, Groundswell leverages its world-class talent and SaaS intellectual property to help clients achieve their goals better, faster, and cheaper. As a premier technology integrator, we work with core partners such as Appian, SAP, Workday, and UiPath. Our expertise spans a wide range of capabilities, ensuring we can help government agencies further their objectives and redefine what citizens can expect from digital government services. Groundswell embodies our commitment to creating an unstoppable, seismic change in government. We strive to set new standards for digital government through our specialized approach, leveraging our wealth of technology and experience. Discover how Groundswell is redefining expectations for digital government at www.gswell.com

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