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Additive Manufacturing Engineer Remote Jobs in Alabama

Becton, Dickinson and Company

It takes the imagination and passion of all of us-from design and engineering to the manufacturing ... Remote or field-based positions will have different workplace arrangements which will be indicated ...

Cadence Design Systems Inc.

$92K - $171K/yr

Location/s; remote role but must be located in the US. The candidate will have expert knowledge of ... Able to communicate effectively with Cadence R&D, Product Engineering, Marketing and with customers.

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Additive Manufacturing Engineer Remote information

What are the key skills and qualifications needed to thrive as an additive manufacturing engineer remote?

To thrive as an Additive Manufacturing Engineer (Remote), you need a strong background in engineering principles, 3D printing technologies, and materials science, usually supported by a relevant engineering degree. Proficiency with CAD software, simulation tools, and experience with additive manufacturing systems such as FDM, SLS, or SLA, as well as familiarity with industry standards or certifications like ASTM or ISO, is essential. Strong problem-solving skills, attention to detail, and effective virtual communication are crucial soft skills for remote collaboration and project management. These competencies ensure the engineer can design, optimize, and deliver high-quality parts while collaborating efficiently with distributed teams.

What does an additive manufacturing engineer do when working remotely?

An Additive Manufacturing Engineer working remotely is responsible for designing, developing, and optimizing 3D printing processes and products from a remote location. They collaborate with teams using digital tools to create prototypes, analyze data, and troubleshoot issues related to additive manufacturing. Remote engineers may also oversee workflow, ensure quality standards are met, and support the integration of new technologies, all while communicating with clients and colleagues virtually.

What is the difference between Additive Manufacturing Engineer Remote vs Additive Manufacturing Technician?

AspectAdditive Manufacturing Engineer RemoteAdditive Manufacturing Technician
CredentialsBachelor's or higher in engineering, certifications like AM-specific trainingTechnical diploma or associate degree, hands-on training
Work EnvironmentRemote office, design and development focusOn-site manufacturing floor, equipment operation
Industry UsageDesign, process optimization, project managementMachine setup, maintenance, part fabrication

The main difference is that Additive Manufacturing Engineers Remote focus on designing and optimizing additive processes remotely, while Additive Manufacturing Technicians work hands-on with equipment on-site. Engineers typically require higher education and perform planning tasks, whereas Technicians handle daily machine operations and maintenance.

What are some common challenges faced by remote additive manufacturing engineers, and how can they be addressed?

Remote Additive Manufacturing Engineers often encounter challenges related to limited hands-on access to equipment and real-time collaboration with on-site teams. To overcome these obstacles, it's important to establish clear communication channels, utilize remote monitoring tools, and coordinate closely with local operators for prototyping and testing. Regular virtual meetings and detailed documentation help ensure project timelines stay on track and technical issues are resolved efficiently. Embracing digital collaboration platforms and maintaining flexibility can significantly enhance productivity and team integration.
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What are popular job titles related to Additive Manufacturing Engineer Remote jobs in Alabama? For Additive Manufacturing Engineer Remote jobs in Alabama, the most frequently searched job titles are:
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Additive Manufacturing Engineer Remote jobs near you
Infographic showing various Additive Manufacturing Engineer Remote job openings in Alabama as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 100% Remote job distribution.

Distinguished AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • Remote

Full-time

Re-posted 13 days ago

Job description

Overview

FTI Defense delivers mission-focused solutions to the Department of Defense and Intelligence Community through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.

FTI Defense is seeking a Distinguished AI/ML Engineer to serve as a technical leader, architect, and integrator - designing, building, deploying, and sustaining AI systems that transform complex mission data into trusted, explainable insights.

This is a hands-on builder role, not an analytics management position. The ideal candidate is equally comfortable writing model code, standing up ML pipelines, and integrating AI inference services into operational systems within secure environments. The right candidate blends deep AI/ML engineering expertise with system-level architecture leadership and an ability to unify data engineering, simulation modeling, and responsible AI principles into scalable, mission-ready capabilities.

Responsibilities
  • Architect and integrate hybrid AI systems that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines.
  • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems.
  • Lead the full AI/ML lifecycle - from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud).
  • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs.
  • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems.
  • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection.
  • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations.
  • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs.
  • Collaborate across engineering, data, and modeling teams to unify FTI's AI portfolio, ensuring interoperability and reuse across mission systems.
  • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.
Education/Qualifications
  • Active Secret clearance required; TS/SCI strongly preferred.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master's or Ph.D. preferred).
  • 10+ years of overall experience in AI/ML development, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system).
  • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks.
  • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks.
  • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka.
  • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments.
  • Familiarity with Responsible AI and assurance principles, including bias detection, explainability, human-machine teaming, and hallucination prevention.
  • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.
  • Experience transitioning R&D systems into accredited production environments.
  • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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