below marketmost similar roles pay hereabove market
This role pays less than
97%
of similar roles. Most pay
$147,200–$222,500
— the blue band above.
At the midpoint, this role pays about
$114k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Dell Technologies
Dell Technologies is a US-based technology company that designs and sells PCs, servers, storage and networking hardware, along with related software and IT services. Its product lines include the XPS, Latitude and Alienware PCs and the PowerEdge server and PowerStore storage families.
Dell Technologies currently has
116 open roles
on FindRole.
Listed pay typically runs
$176,000–$240,790
across 105 roles with salary data.
The Senior Analyst, Agentic AI Engineer joins the Services Operations AI Transformation team to build AI-native workflows and autonomous agents. This role involves embedding with operational teams to identify automation opportunities and translate complex business processes into production-ready AI agent specifications. You will design, develop, test, and deploy solutions using large language models, retrieval-augmented generation, and workflow orchestration. Key responsibilities include defining evaluation frameworks, monitoring production performance, and managing AI portfolio intake and governance. You must possess strong Python programming skills and experience with tools like GitHub Copilot, DataRobot, or Windsurf. The work focuses on solving business problems by creating reusable templates and standards to scale AI adoption across a global services organization, moving projects from initial discovery through full production deployment.
Analyze operational workflows to identify automation opportunities and translate business processes into AI agent specifications.
Design, develop, test, and deploy AI-powered agents using large language models and retrieval systems.
Define evaluation frameworks to monitor production performance and troubleshoot issues to improve solution accuracy.
Manage the AI portfolio intake, tracking, governance, and stage-gate processes to ensure enterprise compliance.
Create reusable templates and documentation to enable scalable delivery of AI solutions across business domains.
Translate complex business requirements into production-ready technical specifications for AI-native workflows.
What we're looking for
2+ years of experience in software engineering, data science, machine learning, technical consulting, or a related technical field.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical experience.
Strong Python programming skills with experience developing, enhancing, and maintaining production-quality applications.
Hands-on experience building AI or LLM-powered solutions, including prompting, tool integration, RAG, workflow orchestration, and evaluation techniques.
Proven ability to work with business stakeholders to develop technical specifications and deliver solutions from concept through production.
Experience with AI development tools and platforms such as GitHub Copilot, DataRobot, Windsurf, or comparable technologies (preferred).
Familiarity with enterprise delivery processes, including architecture reviews, security and governance, Jira/Confluence, portfolio management, and executive reporting (preferred).
Agentic AI
LLM Orchestration
Model Context Protocol (MCP)
Databricks
Lakehouse
Slack
Microsoft Teams
Jira
Prescriptive Analytics
BI Development
Data Storytelling