CIP Architect | AI Governance, Computer Vision & DevSecOps
Build the architecture that takes enterprise AI from proof of concept to production.
LER 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.
What you'll do
- 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.
What you'll need
Essential qualifications:- 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.
Preferred qualifications
- 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.
What you'll get
- 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