AI Solutions Engineer

Vadum Inc
Raleigh, NC, United States
3 months ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Continuous Integration Python (Programming Language) Machine Learning Object Detection Tensorflow Software Deployment Software Engineering Google Cloud
+14 more
Pytorch Large Language Models Multi-Agent Systems Containerization Scikit Learn Kubernetes Information Technology Enterprise Integration Machine Learning Operations Feature Extraction Api Design Data Pipelines Api Management Docker

Job description

We are seeking a talented and innovative AI Solutions Engineer to join our dynamic team. In this role, you will be responsible for designing, building, and deploying general AI solutions. The ideal candidate will be a generalist and have broad experience in Large Language Models (LLMs), agentic AI, and computer vision. This role sits at the intersection of engineering, product, and customer success, ideal for someone who can solve complex technical problems while working directly with customers to deliver high-impact pilot programs and integrations.

The AI Solutions Engineer will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product evolution. If you are passionate about artificial intelligence and enjoy solving complex technical challenges, we invite you to become a part of our forward-thinking organization., Solutions Design & Development

  • Architect and build LLM-enabled workflows, generative-AI pipelines, and custom integrations.
  • Architect and build computer vision feature extraction, classification, and object detection pipelines.
  • Develop prototypes, proof of concept, and small-scale pilot systems aligned with customer use cases.
  • Collaborate with product and research teams to translate requirements into scalable, production-ready solutions.

Customer Integration & Deployment

  • Lead technical discovery, solution scoping, and integration planning with customer engineering teams.
  • Deploy AI pilots into customer environments (cloud, on-prem, hybrid).
  • Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems.
  • Troubleshoot technical issues and guide customers through adoption and operationalization.

Technical Support & Enablement

  • Provide hands-on technical guidance to customers during pilot and post-deployment phases.
  • Develop documentation, reference architectures, and repeatable implementation patterns.
  • Train customer teams on best practices for general AI systems and workflow integration.
  • Serve as the technical advocate for customers internally and influence future product direction.

Cross-Functional Collaboration

  • Work closely with engineering to relay customer feedback, edge cases, and new integration requirements.
  • Partner with sales and customer success to support pre-sales demos, solutioning, and scoping discussions.
  • Contribute to internal and external technical materials (whitepapers, demos, templates).

Requirements

Do you have experience in System deployment?, Do you have a Bachelor’s degree?, * Ability to obtain Security Clearance.

  • Bachelor’s degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, ML engineering, or solutions engineering.
  • Hands-on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection.
  • Strong Python skills and familiarity with AI/ML libraries (PyTorch, TensorFlow, LangChain, LlamaIndex, etc.).
  • Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on-prem environments.
  • Demonstrated success delivering customer-facing pilots, proofs of concept, or integrations.
  • Excellent communication skills with the ability to translate technical concepts to diverse audiences.

PREFERRED:

  • Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes).
  • Background in enterprise data systems or API-first architectures.
  • Previous technical consulting or field engineering experience.

WHAT YOU’LL BRING:

  • A builder mindset with the ability to deliver end-to-end AI solutions.
  • Comfort working with ambiguity and inventing new workflows using emerging tools.
  • The ability to collaborate cross-functionally and drive successful customer outcomes.
  • Passion for generative AI and a desire to shape how organizations adopt it.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance

About the company

Vadum’s focus is on innovative scientific research and development of cutting edge technology. We can’t break the laws of physics, but we do try to bend them. Our staff has a broad background in RF, microwave, digital and mixed-signal systems design and high-precision electro-mechanical instrumentation. We leverage this extensive background to develop novel solutions for our customers. The environment at Vadum encourages creativity, innovation and teamwork with an overall focus on successful technology implementation.

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