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Salesforce Artificial Intelligence Ai Engineer Jobs

Talanto

$45/hr

Artificial intelligence (AI) Engineer Intern 7,800 $ Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or ...

Beehive AI, Inc.

$84K - $101K/yr

Artificial Intelligence (Generative AI) Engineer San Francisco Bay Area (on-site) or USA (remote) Job Type Full Time About the Company Beehive AI provides a generative AI platform designed ...

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Salesforce Artificial Intelligence Ai Engineer information

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How much do salesforce artificial intelligence ai engineer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for salesforce artificial intelligence ai engineer in the United States is $62.11, according to ZipRecruiter salary data. Most workers in this role earn between $53.37 and $70.67 per hour, depending on experience, location, and employer.

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Infographic showing various Salesforce Artificial Intelligence Ai Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution, with an average salary of $129,181 per year, or $62.1 per hour.

Artificial Intelligence (AI) Engineer III (2316)

Melbourne, FL • Hybrid

Morson Talent
See more jobs at Morson Talentexternal

$55 - $62/hr

Full-time

Re-posted 10 days ago

Job description

Job Description Title: Artificial Intelligence (AI) Engineer III (2316) Location: Melbourne, Florida Openings: 1 Work Model: Hybrid, 2 - 3 days in office Job Type: Contract Duration: 1 Year Rate: $61/hour (W2) + Benefits Hours: 40 hours/week, 8 - 5 Project: Technology Division Position Summary: An AI (Artificial Intelligence) Engineer develops and trains AI models to automate processes and solve complex problems. They design and implement AI systems, ensuring they function effectively and align with business objectives. Responsibilities: Evaluate machine learning processes and select appropriate models.

Collect and analyze large datasets to train AI models. Develop and deploy AI algorithms and systems. Collaborate with cross functional teams to establish goals for AI processes.

Test and validate AI models to ensure accuracy and effectiveness. Manage data and project infrastructure. Stay updated on the latest AI developments and technologies.

Strong Large Language Model (LLM) Expertise Handson experience finetuning, adapting, and deploying LLMs, including prompt engineering, embeddings, and context management. LLM Application & System Architecture Proven ability to design and implement productiongrade LLM solutions such as RAG pipelines, agents, and tool/functioncalling systems. Production MLOps & Model Lifecycle Management Experience owning the endtoend ML lifecycle, including CI/CD, deployment, monitoring, versioning, and performance/cost optimization.

Advanced Python & Software Engineering Strong Python skills with experience building scalable, testable APIs and services that integrate ML/LLM models into enterprise systems. CloudBased Scalable ML Infrastructure Handson experience with AWS, Azure, or GCP, including containerization (Docker), orchestration (Kubernetes), and GPUbased ML workloads. Qualifications: Masters degree in Computer Science, Engineering, or a related field.

Proven experience as an AI Engineer or in a similar role. Strong programming skills in languages such as Python, R, or Java. Experience with machine learning frameworks and libraries.

Excellent analytical and problem-solving abilities. Effective communication and collaboration skills.

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