Job Description
CIP Architect | AI Governance, Computer Vision & DevSecOps\n
Build the architecture that takes enterprise AI from proof of concept to production.\n
\nLER TechForce is seeking a CIP Architect to work with our client in Columbus, Indiana. This role combines enterprise data architecture, AI governance, generative AI, computer vision, and DevSecOps, with a strong focus on building secure, scalable, production-ready solutions.\n
\nWhat you'll do\n
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- Define enterprise data architecture, integration, storage, governance, and security strategies.
- Architect scalable solutions across databases, data lakes, APIs, analytics platforms, microservices, and reusable data services.
- Establish data quality, lineage, ownership, retention, access-control, and governance standards.
- Build strategies for securely making trusted enterprise data available to generative AI applications and AI agents.
- Define responsible AI controls for security, privacy, traceability, model risk, and human oversight.
- Design RAG, semantic search, vector database, knowledge repository, and AI-agent solutions.
- Take AI solutions from proof of concept through secure, scalable production deployment.
- Architect computer vision solutions for object detection, classification, OCR, defect identification, visual inspection, and image processing.
- Build and optimize CI/CD and DevSecOps pipelines for applications, infrastructure, databases, and AI models.
- Implement secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, monitoring, and operational controls.
- Partner across architecture, cybersecurity, engineering, IT, product, and business teams to turn requirements into scalable technical solutions.
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\nWhat you'll need\n
Essential qualifications:\n
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- Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related technical field.
- 7+ years of experience in data engineering, software development, cloud architecture, AI/ML, or related disciplines.
- 3+ years designing enterprise data or solution architectures.
- Hands-on experience with AWS and cloud-native solution development.
- Strong knowledge of relational databases, NoSQL, data lakes, data warehouses, ETL/ELT, APIs, messaging, and event-driven architectures.
- Experience developing or deploying AI/ML, generative AI, or knowledge-based solutions.
- Knowledge of computer vision and image-processing workflows.
- Experience implementing CI/CD and DevSecOps controls.
- Proficiency in Python and SQL.
- Experience with Git, automated testing, and code-review practices.
- Strong understanding of IAM, encryption, access controls, audit logging, and secure handling of sensitive data.
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\nPreferred qualifications\n
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- Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience in manufacturing, automotive, engineering, industrial, or product-development environments.
- Experience with AWS S3, RDS, Redshift, Glue, Lambda, API Gateway, SageMaker, Bedrock, IAM, CloudWatch, and EKS.
- Experience with knowledge graphs, enterprise search, vector databases, semantic data models, MLOps, or edge AI.
- AWS, data architecture, security, Kubernetes, or AI/ML certifications.
- Experience taking proof-of-concept solutions into supported production environments.
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\nWhat you'll get\n
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- Medical, dental, vision, HSA and FSA
- 401K with match and immediate vesting
- Short-term and long-term disability, life insurance, and optional benefits
- Employee Assistance Program
- Employee discounts
- Ongoing technical and leadership development
- Opportunity to work on industry-leading projects
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\nReady to Apply?\n
\nIf you're passionate about enterprise AI, data architecture, computer vision, and building secure technology that works in production, click "Easy Apply" and take the next step with LER TechForce.