AI Cloud Engineer: Generative AI & LLM (On-Site)

Onward Search; Indianapolis (IN); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

Life Insurance

401(k) Program

Commuter Benefit

eLearning and Training

Education Reimbursement

Job summary

Onward Search is seeking an AI Developer for a temporary on-site role with a leading financial services client. The candidate will design and deploy scalable AI and generative AI solutions on AWS, integrate LLMs, and collaborate with stakeholders to automate processes.

The ideal candidate has a strong background in Python, cloud AI deployment (Bedrock, SageMaker, Lambda), and modern AI frameworks, with a track record of moving AI projects from PoC to production.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
• Hands-on experience deploying AI/ML solutions in cloud environments (AWS Bedrock, SageMaker, Lambda).
• Strong understanding of large language models and AI architectures.
• Proficiency in Python and modern AI/ML frameworks.

Responsibilities

• Design, develop, and implement scalable AI and generative AI solutions on AWS cloud platforms.
• Collaborate with stakeholders to identify automation opportunities and optimize processes using AI.
• Build and deploy machine learning workflows from proof of concept to production.
• Integrate large language models into enterprise systems.
• Monitor AI systems for performance and optimize for efficiency.

Skills

Python

Large language models

Prompt engineering

AI architectures

Cloud AI deployment

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Equivalent experience

Tools

AWS Bedrock

AWS SageMaker

AWS Lambda

Job description

Onward Search is seeking an AI Developer for a temporary on-site role with a leading financial services client. The candidate will design and deploy scalable AI and generative AI solutions on AWS, integrate LLMs, and collaborate with stakeholders to automate processes.

The ideal candidate has a strong background in Python, cloud AI deployment (Bedrock, SageMaker, Lambda), and modern AI frameworks, with a track record of moving AI projects from PoC to production.