Senior Architect

Pyramid Consulting•Columbus, IN
•Onsite

About The Position

Pyramid Consulting, Inc. is recruiting a Senior Architect for a 06+ month contract opportunity with long-term potential. The role is onsite in Columbus, Indiana, supporting a client in the automobile manufacturing industry. The position involves hands-on technical leadership across cloud, data, AI, computer vision, DevOps, security, and monitoring, with an emphasis on developing secure, scalable, and operationally sustainable architecture. The architect will help lead proof-of-concept efforts and transition successful solutions into supported production systems.

Requirements

  • Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Experience with AWS services for compute, storage, databases, security, monitoring, and AI/ML, including services such as S3, RDS, Redshift, Glue, Lambda, API Gateway, SageMaker, Bedrock, IAM, CloudWatch, and EKS.
  • Experience with Python, SQL, scripting, and API development.
  • Knowledge of relational databases, NoSQL, data lakes, data warehouses, and vector databases.
  • Experience with ETL/ELT, REST APIs, event streaming, messaging, and microservices.
  • Knowledge of generative AI, AI agents, RAG, prompt orchestration, embeddings, model evaluation, and responsible AI controls.
  • Experience with computer vision technologies and workflows, including OpenCV, image preprocessing, classification, object detection, OCR, model evaluation, and inference pipelines.
  • Experience with Git, automated testing, CI/CD, infrastructure as code, release management, and environment management.
  • Experience with Docker and Kubernetes or equivalent container platforms.
  • Knowledge of secure coding, vulnerability scanning, secrets management, IAM, encryption, audit logging, and compliance.
  • Experience with application, database, pipeline, infrastructure, and AI-model observability.
  • Experience in manufacturing, automotive, engineering, industrial, or product-development environments.
  • Enterprise and systems thinking; hands-on technical leadership; data and AI governance; security-by-design; architecture decision-making; problem-solving and root-cause analysis; stakeholder alignment; technical documentation; project prioritization and roadmap development.
  • Ability to balance innovation, security, scalability, cost, and operational sustainability.

Nice To Haves

  • Experience with knowledge graphs, enterprise search, vector databases, or semantic data models.
  • Experience with MLOps platforms and model lifecycle management.
  • Experience deploying AI or computer vision solutions at the edge.
  • Familiarity with data-governance frameworks, model-risk management, and responsible AI principles.
  • AWS, data architecture, security, Kubernetes, or AI/ML certifications.
  • Experience leading proof-of-concept efforts and transitioning them into supported production solutions.

Benefits

  • Health insurance (medical, dental, and vision).
  • 401(k) plan.
  • Paid sick leave, depending on work location.
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