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.

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Overview

Open roles660+
Top stateCalifornia
Top employerNVIDIA
Top cityNew York, NY
Work type61% On-site
Top industryTechnology

Showing 5 of 660+ AI Solutions Engineer jobs

freshworks
Principal AI Solutions Engineer
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freshworks
Added 1d ago
Principal AI Solutions Engineer
freshworks
Boston, Massachusetts
Solutions Engineering & Architecture
Software Engineering
Partnerships & Business Development
Customer Success
Project & Program Management
AI (Artificial Intelligence)
Project Management
$158k - $195k/yr
On-Site
Bachelor's

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freshworks
Principal AI Solutions Engineer
We won't show you this job again
freshworks
Added 1d ago
Principal AI Solutions Engineer
freshworks
San Mateo, California
Solutions Engineering & Architecture
Software Engineering
Partnerships & Business Development
Customer Success
Consulting & Professional Services
AI (Artificial Intelligence)
$159k - $197k/yr
On-Site
Bachelor's

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NTT DATA
AI Solution Engineer
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NTT DATA
Added 1d ago
AI Solution Engineer
NTT DATA
Plano, Texas
Software Engineering
Partnerships & Business Development
Project & Program Management
Consulting & Professional Services
AI (Artificial Intelligence)
Business Development
Project Management
Remote (US)
None
10,000+

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LPL Financial
AI Solutions Engineer
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LPL Financial
Added 6d ago
AI Solutions Engineer
LPL Financial
New York, New York
Software Engineering
Cloud & DevOps
Data Science & Analytics
AI (Artificial Intelligence)
ML (Machine Learning)
$147k - $245k/yr
Hybrid
None
5,001-10,000

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DIVERGENT
AI Solutions Engineer
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DIVERGENT
Added 1w ago
AI Solutions Engineer
DIVERGENT
Los Angeles, California
Software Engineering
Data Science & Analytics
Technical Product & Program Management
AI (Artificial Intelligence)
ML (Machine Learning)
Data Science
$122k - $168k/yr
Hybrid
Bachelor's
11-50

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AI Solutions Engineer Job Market

A snapshot from current openings nationwide, updated as new roles post.

Who's Hiring

  • NVIDIA
    NVIDIA46
  • Anthropic
    Anthropic18
  • Boston Consulting
    Boston Consulting17
  • Tata Consultancy Services (TCS)
    Tata Consultancy Services (TCS)17
  • Meta
    Meta13

Top Industries Hiring

  • Technology & Software328
  • Consulting & Professional Services77
  • Electronics & Hardware41
  • Science & Research35
  • Insurance28

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 NVIDIA, Anthropic, and Boston Consulting, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of June 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 39% of ai solutions engineer openings are fully remote or hybrid as of June 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 660+ AI Solutions Engineer Jobs

Jump back to the full list of openings and apply to any AI solutions engineer role that fits.

Find AI Solutions Engineer Jobs