below marketmost similar roles pay hereabove market
This role pays less than
96%
of similar roles. Most pay
$150,375–$235,487
— the blue band above.
At the midpoint, this role pays about
$114k
versus about
$193k
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
102 open roles
on FindRole.
Listed pay typically runs
$174,000–$236,250
across 88 roles with salary data.
The Senior Analyst, Agentic AI Engineer joins the Services Operations AI Transformation team to drive enterprise AI transformation by embedding with operational teams. This role involves identifying automation opportunities, translating business processes into scalable AI agent specifications, and designing, developing, testing, and deploying production-ready agents. The engineer will manage AI portfolio intake, define evaluation frameworks, and create reusable templates to ensure scalable delivery across business domains. Key technical requirements include Python programming, experience with large language models, prompting, tool integration, retrieval-augmented generation, and workflow orchestration. Candidates should also possess skills in data science or software engineering. The work focuses on building AI-native workflows and autonomous agents to automate and enhance operations while establishing governance, standards, and processes for enterprise-wide AI adoption.
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, documentation, and best practices to enable scalable AI adoption 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, retrieval-augmented generation (RAG), workflow orchestration, and evaluation techniques.
Proven ability to work with business stakeholders, develop technical specifications, manage priorities, 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 requirements, 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