> Markdown version of [/jobs/ext/4258338-ai-technical-architect-in-somerville](https://www.wearedevelopers.com/jobs/ext/4258338-ai-technical-architect-in-somerville). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Technical Architect in Somerville - **Company:** Energy Jobline - **Location:** Somerville, NJ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Computer Programming, Information Engineering, Data Systems, DevOps, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Systems Integration, Pytorch, Generative AI, Backend, Scikit Learn, Graphql, Machine Learning Operations, Api Design, Restful APIs, Spacy - **Published:** October 31, 2026 - **Apply:** https://www.energyjobline.com/job/ai-technical-architect-somerville-32118626 ## About the Role 8+ years of hands-on technical experience in software engineering, with at least 3+ years in a leadership role managing cross-functional teams, including GenAI, machine learning, and cloud infrastructure. \n Hands-on Experience in designing and developing large-scale systems, including GenAI, API architectures, data systems, ML pipelines, and cloud- applications. \n Programming : Proficiency in Python, JavaScript, Java, or other backend . Experience with API development (RESTful APIs, GraphQL). \n Machine Learning & AI: Extensive experience in building and deploying ML models using TensorFlow, PyTorch, scikit-learn, and spaCy, with hands-on experience in integrating them into GenAI applications. \n Hands on experience in GCP/Data Engineering/DevOps ## Description The AI architect will play a pivotal role in architecting, leading, and actively contributing to the development of GenAI applications, machine learning models, data engineering pipelines, and cloud- infrastructure. \n Be responsible for architecting complex systems, making critical decisions, and leading teams to deliver high-quality, scalable solutions while remaining directly involved in coding, technical design, and problem-solving