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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Our Vision: Be the best at what we do. Our Mission: Improve lives through technology.
Summary:
“Customer Inspired” isn’t our slogan — it’s our driving force, and C Spire team members live it. We aim to engage the exceptional and embrace operational excellence to best deliver connectivity and technology solutions that advance our communities and customers’ lives. It’s a challenging goal, but we have a winning team that is looking to grow.As an Artificial Intelligence Intern, you will work alongside our AI team to explore, build, test, and improve practical AI-powered solutions that solve real business problems. You will gain hands-on experience applying artificial intelligence, large language models, automation, and modern development tools in a real telecommunications and technology environment. You will work with team members and business partners to understand workflows, identify opportunities for AI, develop prototypes, and evaluate solutions based on real-world results.
This position is for a Summer Internship in 2026, located at our Corporate Office in Ridgeland, MS.
Responsibilities:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
Qualifications:
What You Will Do
In all of your duties, you will have a relentless, obsessive, yet disciplined approach to manage all details to perfection and deliver desired results.
Work alongside AI engineers and business teams to understand workflows, identify pain points, and explore opportunities where AI can provide meaningful value.
Assist in designing, building, testing, and improving AI- and large language model-powered applications, features, agents, and workflow automations.
Develop prototypes and proofs of concept to help evaluate business value and technical feasibility.
Test AI solutions using real feedback and performance data and help identify opportunities for improvement.
Support automation initiatives designed to reduce repetitive work, improve accuracy, and increase efficiency.
Gain hands-on experience with technologies such as Python, APIs, retrieval-augmented generation (RAG), AI agents, prompt engineering, and other modern AI development tools.
Assist with building reusable AI components, integrations, prompts, tools, and capabilities that can be applied across the organization.
Research emerging AI technologies and help evaluate how they could be applied to C Spire business needs.
Document requirements, testing results, technical decisions, and lessons learned throughout projects.
Collaborate in a fast-paced team environment and communicate effectively with both technical and non-technical team members.
Participate in C Spire’s summer internship programming, including networking, professional development, team activities, and other intern experiences.
This internship provides an opportunity to move beyond classroom concepts and gain real-world experience building and delivering AI solutions while learning from professionals working at the forefront of AI and technology.
If you want to work hard, achieve a lot, and make a difference, then C Spire is the place for you.
AI Solutions Engineer Jobs by Experience Level
Top Cities Hiring AI Solutions Engineers
Explore AI solutions engineer openings in the cities hiring most right now.
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Find AI Solutions Engineer JobsAI Solutions Engineer Job Market
Who's Hiring
- Amazon Web Services64

- Amazon26

- Abco Maintenance13

- Booz Allen Hamilton13

- 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