Senior GenAI & data Engineer System One - 3.5 Birmingham, AL Job Details Permanent | Full-time 16 hours ago Qualifications AI models Containerization systems Systems integration Software engineering Data Integration (Data management) Enterprise software Spark Software implementation Generative models Enterprise solutions implementation AI platforms (beyond public GPTs) Scalable systems Enterprise software systems development Event-driven architecture Spark implementation Bachelor's degree Bank experience Cloud Native Design Scalability Financial services Cloud solution engineering Back-end integration Business requirements Cross-functional collaboration Implementing IT solutions Python Design (software development lifecycle)

Generative AI Full Job Description Job Title:

Senior GenAI & Data Engineer Duration:

Full Time /

Permanent Position Location:

Birmingham, AL, Knoxville, TN, Columbia, SC or Lafayette, LA.

Work Mode:

Hybrid Systemone is seeking a Senior Gen AI Software Engineer with strong hands-on experience in Generative AI, data engineering, and AWS cloud technologies. The ideal candidate brings practical experience with Large Language Models (LLMs), AI agents, Retrieval Augmented Generation (RAG), Amazon Bedrock, Python, and PySpark , along with a strong background in data pipelines and systems integration. The role requires the ability to translate business and product requirements into scalable technical solutions while working independently and collaborating effectively with technical and business teams. Your Future Duties and Responsibilities This role will develop and integrate AI-enabled applications and data solutions that support enterprise financial services use cases. Required Qualifications to Be Successful in This Role 5 years hands-on experience with Generative AI and Large Language Models (LLMs), including AI agents and Retrieval Augmented Generation (RAG). Experience developing enterprise AI solutions using Amazon Bedrock. Advanced development skills in Python and PySpark. Strong data engineering experience, including data pipelines, data models, integrations, and large-scale data processing. Experience building and integrating REST APIs across applications, data platforms, AI services, and enterprise systems. Strong hands-on experience with AWS cloud-native and serverless services, including Lambda, Glue, and Step Functions. Experience with containers and event-driven processing. Ability to translate business and product requirements into practical technical solutions and implementation approaches. Experience integrating AI capabilities into enterprise applications and existing technology ecosystems. Strong written and verbal communication skills. Ability to work independently while collaborating effectively across technical and business teams. Financial services experience. Educational Requirements Bachelor's degree in Computer Science, Information Systems, or a related field.

Ref:

#404-IT Pittsburgh