Ingram Micro Inc.
Manager, Agentic AI Engineering
Irvine, CA, United States of America · Junior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,737 more — $161,637 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $161,637 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 62%
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You will grow the team's engineering maturity while delivering production-grade agents on the AICOE Agentic Platform, applying the right level of rigor to each agent based on who uses it and the risk it carries.
Responsibilities
- Raise engineering maturity through regular code reviews, design reviews, pairing, and structured individual growth plans.
- Establish strong team habits: version control, testing, CI/CD, documentation, and production support.
- Identify and grow future technical leads from within the team.
- Own hiring, onboarding, performance management, and career development for the team.
- Manage a portfolio of agents delivered in parallel, including intake, prioritization, estimation, sprint planning, and status reporting.
- Act as the primary delivery partner to business owners: clarify requirements, set realistic expectations, and communicate progress and trade-offs.
- Guide the design, build, and deployment of agentic and multi-agent solutions, including LLM-powered applications, RAG, tool/MCP integrations, and orchestration.
- Stay technically close to the work: review designs and code, unblock builders, and step in hands-on when needed.
Requirements
- 8+ years of software engineering experience.
- 3+ years of engineering management experience leading technical teams.
- 1-2+ years of hands-on experience shipping GenAI, LLM, or agentic solutions to production.
- Experience evaluating and testing LLM or agent systems (evaluation sets, regression testing, quality metrics).
- Working knowledge of APIs, distributed systems, vector databases, and RAG architectures.
- Experience with at least one major cloud platform (GCP, AWS, or Azure).
- Proficiency with Google Cloud AI services (Vertex AI, Gemini models, embeddings, Agent Engine) and experience running production workloads
- Experience with Model Context Protocol (MCP) and tool/integration patterns for agents.
- Experience with agent frameworks such as ADK, LangChain/LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
- Experience delivering customer-facing AI solutions with associated safety, governance, and compliance requirements.
Nice to have
- Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (Master's preferred).
Compensation
- The typical base pay range for this role across the U.S. is USD $158,900.00 - $270,100.00 per year.
Company info
- We are seeking a hands-on Manager, Agentic AI Engineering to lead a team of approximately 10 early-career Agent Builders within the AI Center of Excellence.
This listing is sourced directly from Ingram Micro Inc.'s careers page and normalized into a canonical job model.