More jobs:
Junior Architect; AI Engineer AWS Skills
Job in
Charlotte, Mecklenburg County, North Carolina, 28202, USA
Listed on 2026-07-23
Listing for:
Omni Inclusive
Full Time
position Listed on 2026-07-23
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations, Machine Learning/ ML Engineer, Data Engineering
Job Description & How to Apply Below
Experienced Architect
We are seeking an experienced Architect with 8 to 10 years of expertise in AWS Machine Learning, Docker, AI & ML concepts, Machine Learning, Artificial Intelligence, and Kubernetes. The role involves designing and implementing innovative solutions to drive business success. This hybrid role offers the opportunity to work in a dynamic environment during day shifts, with no travel required.
Responsibilities:
- Bachelor's Degree in a related field, Computer Science, AI, and ML.
- 8 to 10 years of IT and business industry development experience
- 2 to 4 years of AI ML knowledge, not a data scientist, but knowledge of AI/ML capabilities, patterns, and integrations
- Knowledge of data standards, security, ingestion, warehousing, and storage. Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
- Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
- Experience with Snowflake
- Experience with AI ML. Collaborate with Agile teams to recommend the right architectures with high quality and software standard methodologies.
- Strong communication skills.
- Nice to have Experience with one or more data Integration Technologies, Matillion, Pentaho, Data Stage, etc APIs, Apigee, Developer Portals.
- Expertise in JSON, RESTful services, and related tech
- Expertise in R, Python, and predictive analytics. Docker containers, Kubernetes, Open Shift, Ansible, Nexus, Software-defined networking.
- Dev Ops Dev Sec Ops :
Chef, Puppet, Jenkins, Packer, Git, Git Hub - Knowledge of data standards, security, ingestion, warehousing, storage Validated knowledge of successful design, architecture, and development using AWS Cloud technologies.
- Experience with AWS product categories like Analytics, Application Integration, Compute, Database, and Serverless.
- Strong communication and collaboration skills.
- Desired
Skills:
AI/ML knowledge, not a data scientist, but knowledge of AI/ML capabilities, patterns, and integrations - Experience with Snowflake.
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