1

Intelligent System Analyst Jobs (NOW HIRING)

... intelligent automation technologies. - Establish, mature, and lead an Automation Center of ... Minimum Yrs of Experience, Skills, and Qualifications 7 years of experience in systems analysis ...

New

GTS provides solutions to achieve Breakthrough Performance through the intelligent use of ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

GTS provides solutions to achieve Breakthrough Performance through the intelligent use of ... Java, ETL, PeopleSoft, Business Systems Analysis, Software Automation Test Suite, Data Modeling ...

Showing results 41-60

Intelligent System Analyst information

See salary details

$41.5K

$89.3K

$141K

How much do intelligent system analyst jobs pay per year?

As of Sep 9, 2026, the average yearly pay for intelligent system analyst in the United States is $89,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $108,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Intelligent System Analyst jobs?

For Intelligent System Analyst jobs, the most frequently searched job titles are:

Sr. Solutions Analyst (Agentic AI Architecture)

Elk Grove, CA • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees

$125K - $138K/yr

Other

Posted 22 days ago


Job description

Location: Elk Grove, CA Salary: $125,000.00 USD Annually - $138,000.00 USD Annually Description:
Job Description
Work Location: Hybrid role (3 days per week in-office; no fully remote options)
Position Summary: The Senior Solutions Analyst - Agentic AI & Systems Architecture is a senior-level technical role responsible for analyzing, designing, integrating, and improving internal business systems with a heavy emphasis on agentic AI workflows, autonomous systems design, and operational automation. This role requires deep expertise in systems analysis, agentic AI architecture (including multi-agent frameworks, task planning, and tool integration), business process orchestration, and technical specifications.
The position leads the evolution of in-house applications for internal customers, serving as a liaison between business stakeholders, AI engineering teams, and infrastructure partners to deliver scalable, AI-native solutions. The role drives the integration of autonomous AI agents and intelligent systems into core workflows to drastically improve operational efficiency, data enrichment, and decision-making capabilities.
Position Responsibilities:
  • Agentic AI Architecture & Design: Architect, evaluate, and design agentic AI systems, multi-agent orchestration workflows, and autonomous task-execution pipelines within internal enterprise applications.
  • Systems & Process Analysis: Document complex business processes, technical system specifications, API contracts, and integration flows tailored for AI agent execution and traditional enterprise software.
  • AI-Driven Automation: Identify and execute opportunities to deploy LLM-based autonomous agents, RAG (Retrieval-Augmented Generation) patterns, and automated decision-making engines to improve data quality, content enrichment, and operational efficiency.
  • Cross-Functional Orchestration: Serve as the technical liaison between business stakeholders, AI engineers, software developers, and infrastructure teams to ensure seamless deployment of agentic solutions.
  • Enterprise Alignment: Partner with IT leadership to ensure agentic AI architectures conform to enterprise governance, safety guardrails, security standards, and long-term scalability goals.

Position Requirements:
  • Education: Bachelor's degree (BA or BS) in Computer Science, Information Systems, AI/ML, Engineering, or a related technical field (or equivalent practical experience).
  • Experience: 5+ years of experience in systems analysis, solution architecture, or technical product roles focused on enterprise systems, integrations, and intelligent automation.
  • Agentic AI Expertise: Hands-on experience or deep architectural familiarity with agentic frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel), function calling, tool use, memory systems, and multi-agent workflow orchestration.
  • Technical Documentation: Proven ability to create technical specs, system architecture diagrams, and prompt/agent flow design for complex internal systems.
  • Domain Knowledge: Professional experience in automotive diagnostics, repair, engineering, automotive data systems, or shop management is highly preferred.

Key Competencies:
  • Agentic AI & Systems Architecture: Deep understanding of modern AI paradigms, including LLM reasoning capabilities, multi-agent design patterns, vector databases, and API integrations.
  • Technical & Business Communication: Ability to translate complex agentic workflows and AI behaviors into actionable business requirements and clear technical architecture documents.
  • Cross-Functional Leadership: Strong track record of bridging the gap between business operators, traditional software developers, and AI/data science engineering teams.
  • Analytical Problem Solving: Exceptional ability to deconstruct manual or semi-automated business processes and redesign them into resilient, autonomous AI agent workflows.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!