AI Engineer - Software

General Dynamics Electric Boat•Groton, CT

21h•Onsite

About The Position

The IT Advanced Technology Group at Electric Boat is seeking a highly skilled and innovative AI Engineer to join our team and support the design, development, and deployment of advanced machine learning (ML) and artificial intelligence (AI) solutions. This role involves hands-on work with data wrangling, model development, automated agents, and exploratory research into emerging AI technologies and methodologies. The ideal candidate is both technically strong and forward‑thinking, with a passion for applying AI to solve complex business problems.

Requirements

Bachelor's of Science degree or Master’s degree in Computer Science, Data Science, or AI Engineering
5+ years of post-graduate related experience in developing software applications
Excellent verbal and written communication skills
Strong organizational and interpersonal skills
Ability to multi-task in a fast-paced environment
Ability to work on a cross-functional team as well as independently
Curiosity, adaptability, and enthusiasm for continuous learning.

Nice To Haves

Strong proficiency in Python and familiarity with ML libraries such as TensorFlow, PyTorch, scikit-learn, or similar.
Strong proficiency with application APIs, web services, and data management approaches in applications
Experience with data wrangling tools and technologies (Pandas, SQL, ETL systems).
Solid understanding of machine learning algorithms, statistical modeling, and model evaluation.
Experience working with LLMs or generative AI models.
Knowledge of cloud platforms (Azure, AWS, GCP) and containerization technologies.
Experience building AI agents or autonomous systems.
Familiarity with vector databases, RAG architectures, or multi‑modal models.
Exposure to MLOps practices (CI/CD, model monitoring, feature stores).
Contributions to AI research, open-source tools, or AI‑related publications.
Knowledge of distributed computing or GPU optimization.

Responsibilities

Design, train, validate, and deploy machine learning models using modern frameworks and best practices.
Build end‑to‑end ML pipelines that include data ingestion, preprocessing, feature engineering, training, evaluation, and monitoring.
Optimize models for performance, scalability, and efficiency.
Collect, clean, transform, and structure complex datasets from diverse sources.
Perform exploratory data analysis to identify trends, anomalies, and opportunities.
Develop automation for data processing workflows and ensure high data quality.
Create intelligent agents capable of autonomous decision‑making, workflow automation, and contextual reasoning.
Integrate agents with internal systems, APIs, and knowledge bases.
Evaluate agent performance and iterate based on measurable outcomes.
Stay current with the rapidly evolving AI/ML landscape, including new algorithms, architectures, tools, and best practices.
Prototype innovative AI solutions using cutting‑edge techniques such as LLMs, RAG pipelines, multi-agent systems, and generative models.
Develop technical briefs, proofs of concept, and recommendations for adopting new technologies.
Work closely with software engineers, data scientists, product teams, and stakeholders to translate business needs into AI solutions.
Document technical designs, research findings, and model performance.
Provide guidance and mentorship on AI/ML concepts and toolsets.