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AI Integrator

Job in Chicopee, Hampden County, Massachusetts, 01021, USA
Listing for: Network Designs, Inc.
Full Time position
Listed on 2026-04-17
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 167662 - 196512 USD Yearly USD 167662.00 196512.00 YEAR
Job Description & How to Apply Below

About NDi

Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi’s core values have driven all aspects of the business, creating an enjoyable workplace atmosphere. We value collaboration, career growth, and winning ideas.

Military Veterans Encouraged to Apply

We encourage military veterans to apply.

Job Description

NDi is seeking a Senior AI Integrator to lead the end‑to‑end lifecycle of AI/ML solutions for Civil Engineering operations at Westover Air Reserve Base. This high‑impact, autonomous role requires a full‑stack AI practitioner capable of navigating data engineering, cloud architecture, and Dev Ops within secure DoD environments. The successful candidate will build custom neural networks, architect supporting infrastructure, and translate complex AI workflows for government stakeholders and Air Force personnel.

Requirements
  • U.S. citizenship required.
  • This role is fully onsite (5 days/week) at Westover Air Reserve Base, Chicopee, MA.
  • No clearance required—just the ability to obtain a military CAC to access the base.
Qualifications and Experience
  • Bachelor’s degree in Engineering, Computer Science, or related field.
  • Minimum 12+ years of professional experience in software engineering, systems architecture, or data science.
  • At least 5 years of hands‑on experience building and deploying custom AI/ML models, focusing on neural networks and deep learning.
  • Proficiency in Tensor Flow, PyTorch, scikit‑learn, and Keras.
  • Experience with Apache Spark, Databricks, Hadoop, and Postgre

    SQL.
  • Advanced Python, Django, Celery, and Linux‑based environments.
  • REST, Graph

    QL, and MQTT integrations.
  • Docker, Kubernetes, CI/CD workflows, automated testing within a Dev Sec Ops  framework.
  • Exceptional technical writing skills to explain AI concepts to non‑technical users.
  • Experience in secure and air‑gapped environments preferred.
Preferred Candidate Profile
  • Experience operating as a "team of one," moving from high‑level design to low‑level code while managing government stakeholder expectations and providing independent technical leadership on site.
Responsibilities
  • Design, train, optimize, and deploy custom AI/ML models tailored to civil engineering use cases.
  • Architect and execute data pipelines—preparing, labeling, cleansing, and validating large‑scale structured and unstructured datasets.
  • Set up and manage the full development lifecycle, including test and production environments within secure boundaries.
  • Implement CI/CD pipelines, version control, automated testing; manage containerization (Docker/Kubernetes) and secure coding practices.
  • Build and maintain REST/Graph

    QL services and backend systems using Django and Postgre

    SQL.
  • Lead software patching, model retraining, and performance monitoring; conduct recurring monthly training for Air Force personnel.
  • Deliver monthly project status reports and represent technical expertise in briefings and committee meetings.
Compensation and Benefits

Salary: $167,662 - $196,512 per year.

Benefits include comprehensive health, dental, vision, pet, and legal insurance; 401(k) retirement matching; paid leave and holidays; health and wellness programs; employer‑paid life and disability insurance; professional development and education benefits.

Veterans First Commitment

As a Service‑Disabled Veteran‑Owned Small Business (SDVOSB), NDi is dedicated to hiring veterans and providing a supportive work environment that honors their service while recognizing their unique skills.

Our Commitment

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

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