Sr. Solutions Analyst (Agentic AI Architecture) (1147907)

The Judge Group; Elk Grove (CA); Hybrid; USD 125,000 - 138,000; Full time

Job summary

The Judge Group seeks a Senior Solutions Analyst in Elk Grove, CA, to lead Agentic AI & Systems Architecture efforts. You will analyze, design, and integrate internal business systems with a strong focus on agentic AI workflows and autonomous operation.

You will partner with AI engineering, IT, and business teams to deliver scalable, AI-native solutions, driving automation while ensuring governance, security, and cross-functional collaboration across enterprise applications.

Qualifications

• Bachelor’s degree in CS/IS/AI/ML/Engineering or equivalent.
• 5+ years in enterprise systems analysis or solution architecture.
• Hands-on with agentic AI frameworks and multi-agent orchestration.
• Strong technical documentation and diagrams experience.
• Automotive diagnostics/repair data experience preferred.

Responsibilities

• Architect agentic AI systems and multi-agent workflows.
• Document complex processes, API contracts, and integration flows.
• Identify opportunities for AI-driven automation and tool integration.
• Collaborate with IT, AI engineers, and infrastructure teams.
• Ensure alignment with governance and security standards.

Skills

Agentic AI

Systems Architecture

Cross-functional Leadership

Technical Communication

Problem Solving

Education

Bachelor's degree

Tools

LangChain

AutoGen

CrewAI

Semantic Kernel

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.