CIP Architect

LER TechForce, LLC.

Columbus (IN)

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Benefits offered by this job

Medical, dental, vision, HSA and FSA
401K with match and immediate vesting
Short-term and long-term disability, L
Employee Assistance Program
Employee discounts
Ongoing technical and leadership dev

Job summary

LER TechForce, LLC. in Columbus, Indiana seeks a CIP Architect to lead enterprise data architecture and AI governance for production‑ready AI solutions. You will shape data strategies, security, and governance across repositories, APIs, data lakes, and analytics platforms.

You’ll design scalable, secure CI/CD/DevSecOps pipelines and develop computer‑vision workloads (object detection, OCR) while guiding AI from PoC to production, collaborating with cross‑functional teams.

Qualifications

  • 7+ years of experience in data engineering, software development, cloud architecture, AI/ML, or related disciplines.

Responsibilities

  • 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.

Skills

Data architecture
AI/ML knowledge
CI/CD & DevSecOps
Python
SQL
Security & IAM
Cloud architecture

Education

Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Electrical Engineering, or related field
Master's degree in Computer Science, Data Science, AI or related field

Tools

AWS
S3
RDS
Redshift
Glue
Lambda
API Gateway
SageMaker
Bedrock
IAM
CloudWatch
EKS
Kubernetes

Job description

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
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