AI Solutions Engineer Jobs

AI Solutions Engineer jobs are open across enterprise software, financial services, healthcare, and manufacturing, from associate to staff and principal level, with specializations in LLM integration, MLOps, and enterprise AI deployment. Find a role that fits from the openings below and apply directly.

Find AI Solutions Engineer JobsLooking for remote work? View remote AI solutions engineer jobs →

Overview

Open roles793+
Top stateCalifornia
Top employerAmazon Web Services
Top citySan Francisco, CA
Work type37% Hybrid
Top industryTechnology

Showing 5 of 793+ AI Solutions Engineer jobs

C Spire
Artificial Intelligence Internship
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C Spire
Added 1d ago
Artificial Intelligence Internship
C Spire
Ridgeland, Mississippi
Data Analytics
Data Engineering
Data Science
1,001-5,000

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Eli Lilly
Agentic AI Solutions, Associate Director
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Eli Lilly
Added 1d ago
Agentic AI Solutions, Associate Director
Eli Lilly
Indianapolis, Indiana
Business Operations
Business Strategy
Project Management
$119k - $174k/yr
On-Site
Master's degree
10,000+

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HP
GTM Program Manager – AI Solutions
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HP
Added 1d ago
GTM Program Manager – AI Solutions
HP
Spring, Texas
Growth Marketing
Performance Marketing
$110k - $160k/yr
Bachelor's degree in business
10,000+

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Friedman Management
Junior AI Solutions Engineer
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Friedman Management
Added 1d ago
Junior AI Solutions Engineer
Friedman Management
Farmington Hills, Michigan
Manufacturing Engineering
Quality Control
Software Engineering
Master's degree
11-50

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Captivation Software
Artificial Intelligence Machine Learning Engineer 2
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Captivation Software
Added 1d ago
Artificial Intelligence Machine Learning Engineer 2
Captivation Software
Annapolis Junction, Maryland
AI (Artificial Intelligence)
Data Science
$130k - $270k/yr
Master's degree
11-50

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Top Cities Hiring AI Solutions Engineers

Explore AI solutions engineer openings in the cities hiring most right now.

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AI Solutions Engineer Job Market

Who's Hiring

  • Amazon Web Services
    Amazon Web Services64
  • Amazon
    Amazon26
  • Abco Maintenance
    Abco Maintenance13
  • Booz Allen Hamilton
    Booz Allen Hamilton13
  • Boston Consulting
    Boston Consulting12

Top Industries Hiring

  • Technology & Software60
  • Consulting & Professional Services21
  • Education14
  • Banking & Financial Services12
  • Electronics & Hardware11

What Employers Look For

The qualifications that appear most often in AI solutions engineer jobs.

  • Bachelor's or master's degree in computer science, data science, or a related engineering field
  • Hands-on experience with large language model APIs such as OpenAI, Anthropic, or Google Gemini
  • Proficiency in Python and at least one cloud platform including AWS, Azure, or GCP
  • Experience designing and deploying retrieval-augmented generation or agentic AI pipelines
  • Familiarity with MLOps tooling for model versioning, monitoring, and continuous evaluation
  • Strong written and verbal communication skills for translating technical solutions to business stakeholders

Tips for Your AI Solutions Engineer Job Search

Tailor your resume to the stack

Recruiters screening ai solutions engineer resumes look for specific frameworks like LangChain, Azure OpenAI, or Vertex AI. List the exact model serving and orchestration tools you've used rather than generic AI or ML experience, so your resume clears automated filters.

Build a demo-ready technical portfolio

For ai solutions engineer roles, a working demo of an LLM-powered application or RAG pipeline carries more weight than a list of technologies. Host a short walkthrough on GitHub or a public repository so hiring managers can evaluate your architectural decisions directly.

Target openings by deployment environment

AI solutions engineer postings vary widely between cloud-native roles (AWS, Azure, GCP) and on-premises enterprise deployments. Filtering by the deployment environment that matches your hands-on experience keeps your applications tightly matched to roles you can speak to confidently.

Apply early to roles that fit

Migrate Mate lists ai solutions engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.

Prepare for architecture whiteboard questions

Interviews for ai solutions engineer positions routinely include live design exercises around retrieval-augmented generation, prompt engineering pipelines, or model evaluation workflows. Practice articulating latency tradeoffs, context window constraints, and fallback strategies before you get on the call.

Negotiate scope before you negotiate compensation

In ai solutions engineer offers, the definition of the role, whether you own model selection, integration, or post-deployment monitoring, affects your growth path significantly. Clarify ownership boundaries in the final interview round so you enter salary negotiation with the full picture.

AI Solutions Engineer Jobs: Frequently Asked Questions

Which companies are hiring the most ai solutions engineers?

The companies hiring the most ai solutions engineers right now include Amazon Web Services, Amazon, and Abco Maintenance, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in enterprise software vendors, large financial institutions, and cloud-platform providers building out customer-facing AI products.

How many ai solutions engineer jobs are remote?

About 67% of ai solutions engineer openings are fully remote or hybrid as of September 2026, making it one of the more remote-accessible roles in applied AI. Sub-areas most commonly listed as fully remote include LLM integration, prompt engineering, and cloud-based AI consulting work, while on-premises enterprise deployment roles tend to require more in-person presence.

How do you become an ai solutions engineer?

Start by building a foundation in software engineering and cloud infrastructure, then move into applied machine learning or NLP work. Gain hands-on experience with at least one major LLM API, build end-to-end projects that connect a model to a real business workflow, and document those projects publicly. Roles labeled solutions engineer, AI engineer, or ML engineer in enterprise settings are common entry points for people transitioning from software or data engineering.

Can you get hired as an ai solutions engineer without direct AI experience?

Yes, particularly if you have a strong software engineering or cloud architecture background and can demonstrate AI-adjacent project work. Employers hiring at the associate or mid-level often prioritize system design skills and the ability to integrate APIs over deep model training experience. Building a public project using an LLM API and presenting it clearly in interviews compensates meaningfully for a shorter AI-specific work history.

What does the ai solutions engineer interview process look like?

Most processes run three to five rounds and typically begin with a recruiter screen focused on your deployment background and tool familiarity. A technical phone screen or take-home follows, often involving an API integration task or architecture design scenario. Final rounds usually include a live whiteboard or system design session and a cross-functional presentation to non-engineering stakeholders, testing your ability to translate AI concepts into business outcomes.

Where can I find and apply to ai solutions engineer jobs?

You can find and apply to ai solutions engineer jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your background and apply directly to each listing to get your application in front of the hiring team.

See All 793+ AI Solutions Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

Find AI Solutions Engineer Jobs