Ai Pipeline Engineer

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Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do.

Ignite is currently seeking a driven, detail-oriented AI Pipeline Engineer to join our team! In this role, you will design, develop, and optimize AI pipelines leveraging cutting-edge tools and frameworks such as Lang Chain, Open WebUI, Embeddings Databases, and Azure Foundry to deliver impactful AI solutions.

• Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like Lang Chain and Open WebUI.
• Develop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applications.
• Integrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and security.
• Collaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needs.
• Optimize AI workflows for performance and efficiency, ensuring seamless integration with existing systems.
• Stay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performance.
• Document processes, workflows, and best practices for AI pipeline development and maintenance.

• Bachelor's degree in Computer Science, Engineering, or a related STEM field.
• 3–5 years of experience working on AI pipelines, including data processing, model deployment, and integration.
• Proficiency in frameworks such as Lang Chain, Open WebUI, and embeddings databases.
• Experience with cloud platforms like Azure Foundry for AI solution deployment.
• Strong programming skills in Python or similar languages, focusing on AI and data processing libraries.
• Ability to work independently while collaborating effectively with team members.
• Excellent problem-solving skills and attention to detail.

• Familiarity with semantic search and recommendation systems.
• Knowledge of distributed systems and scalable architectures for AI pipelines.
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes.
• Understanding of MLOps practices for continuous integration and deployment of AI models.
• Strong written and verbal communication skills to document and present technical solutions.

Must have an active Secret Security Clearance.

• Bachelor’s Degree in STEM Discipline

Must be a US citizen and be able to hold an active Security Clearance at the Secret Level.

Mid‑Senior level

Full‑time

Engineering and Information Technology