> Markdown version of [/jobs/ext/4546485-cip-architect](https://www.wearedevelopers.com/jobs/ext/4546485-cip-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CIP Architect - **Company:** LER TechForce - **Location:** Columbus, IN, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Automation of Tests, Cloud Engineering, Code Review, Information Systems, Continuous Delivery, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Graph Database, Identity and Access Management, Python (Programming Language), NoSQL, Software Engineering, SQL Databases, Enterprise Search, Enterprise Data Management, Generative AI, Git, Event Driven Architecture, Data Lakes, Information Technology, Machine Learning Operations, Cloudwatch, Api Gateway, Devsecops - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/8c99d635-afa0-4f00-9f3c-1c7ff5112a8d/cip-architect ## About the Role * Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or a related technical field. \n * 7+ years of experience in data engineering, software development, cloud architecture, AI/ML, or related disciplines. \n * 3+ years designing enterprise data or solution architectures. \n * Hands-on experience with AWS and cloud-native solution development. \n * Strong knowledge of relational databases, NoSQL, data lakes, data warehouses, ETL/ELT, APIs, messaging, and event-driven architectures. \n * Experience developing or deploying AI/ML, generative AI, or knowledge-based solutions. \n * Knowledge of computer vision and image-processing workflows. \n * Experience implementing CI/CD and DevSecOps controls. \n * Proficiency in Python and SQL. \n * Experience with Git, automated testing, and code-review practices. \n * Strong understanding of IAM, encryption, access controls, audit logging, and secure handling of sensitive data. \n, * Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. \n * Experience in manufacturing, automotive, engineering, industrial, or product-development environments. \n * Experience with AWS S3, RDS, Redshift, Glue, Lambda, API Gateway, SageMaker, Bedrock, IAM, CloudWatch, and EKS. \n * Experience with knowledge graphs, enterprise search, vector databases, semantic data models, MLOps, or edge AI.