Mid Level AI Solutions Engineer Jobs
Mid level ai solutions engineer jobs go to professionals ready to own solution delivery end to end, guide junior teammates, and make architectural decisions without constant oversight. Roles are distributed 49% remote or hybrid across Technology & Software, Banking & Financial Services, and Consulting & Professional Services, with KPMG, NTT DATA, and Amazon hiring at this level now.
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INTRODUCTION
Driven to be the Best
People. Performance. Purpose. At Avis Budget Group, we’re driven to be the best vehicle rental company in the world, together. Our 25,000 employees raise the bar every day, bringing different perspectives, taking ownership, and leading with integrity. We’re defining the future of mobility with safe, sustainable solutions that move people, businesses, and communities forward.
Position Summary
The Artificial Intelligence Revenue Analyst will lead the design, development, and deployment of an AI-powered revenue opportunity detection system for Avis Budget Group. This role sits at the intersection of revenue management, data science, and product development — translating pricing and availability logic into automated, rules-based alerting that identifies lost revenue opportunities across markets, vehicle classes, and booking channels. The analyst will own the end-to-end lifecycle of the tool: from defining business rules, to building and testing the interface, to driving adoption with the broader revenue management team. This position is based at our New Jersey office and follows a [hybrid/on-site] work model. The interview process will include an in-person interview at our New Jersey office.
REVENUE STRATEGY & AI ENABLEMENT
- Translate revenue management expertise into structured rules and logic that identify pricing, availability, demand, and supply opportunities.
- Partner with Data Science and Technology teams to develop AI-enabled alerting, anomaly detection, and prioritization capabilities.
PRODUCT & DATA INTEGRATION
- Lead the design, testing, and enhancement of revenue management tools and workflows that enable teams to identify and act on opportunities.
- Partner with IT, Data Engineering, and cross-functional teams to ensure data quality, integration, and reliable insights across pricing, availability, reservations, competitive intelligence, and financial performance.
REVENUE OPTIMIZATION & PERFORMANCE
- Identify and prioritize revenue opportunities based on business and financial impact.
- Measure results and continuously refine detection logic, rules, and workflows based on performance, user feedback, and evolving business needs.
STAKEHOLDER LEADERSHIP & ADOPTION
- Serve as the bridge between Revenue Management and technical teams, ensuring business needs are translated into effective technology solutions.
- Drive adoption through training, documentation, change management, and ongoing user engagement.
- Partner with leadership to shape the product roadmap and advance a more proactive, data-driven approach to revenue management.
QUALIFICATIONS
Experience
- Minimum 3 years of experience in revenue management, pricing, finance, or financial/process engineering (travel, transportation, hospitality, or similar dynamic-pricing industry preferred)
- Demonstrated experience optimizing for measurable, incremental revenue outcomes across cross-functional teams or data sets
- Experience working with or supporting the build of analytical tools, dashboards, or business rule engines (formal software development experience not required, but comfort partnering closely with technical teams is essential)
- Experience successfully driving adoption of analytical solutions (ideally AI-driven) in a complex matrix organization
Skills & Competencies
- Strong understanding of revenue management fundamentals: pricing strategy, availability/inventory management, demand forecasting, and yield optimization
- Analytical mindset with the ability to translate business logic into structured rules and testable requirements
- Proficiency with data analysis tools (SQL, Excel, and/or BI platforms such as Tableau or Power BI); exposure to Python or similar scripting languages a plus
- Familiarity with AI/ML concepts (anomaly detection, alerting logic, rules-based automation) — prior hands-on ML experience not required, but curiosity and fluency in the space is important
- Excellent communication skills, with the ability to bridge technical and business audiences
- Strong project management instincts: comfortable owning a roadmap, coordinating stakeholders, and driving a product from concept to adoption
- User-centered mindset — genuinely curious about how end users work and motivated to build tools people actually want to use
- Customer-centric orientation – build solutions that deliver rate products our customers want to purchase using processes that our people will embrace and adapt easily
What Success Looks Like in This Role
- A functioning, adopted exception-alerting system that revenue managers rely on daily
- A documented, evolving revenue rules library that reflects current business priorities
- Measurable incremental revenue captured through resolved pricing/availability exceptions
- High user satisfaction and adoption rates across the revenue management team
- A tight feedback loop between the tool's outputs and continuous rule refinement
Who we are:
Here at Avis Budget Group, you will be joining a team of 25,000 driven people, performing with purpose. Together, we’re moving the future of transportation forward with our innovative, customer-focused solutions. Our culture is performance driven, where we encourage and support each other to be at our best through leadership, training, tools, and rewards. We are proud to make a positive difference to the lives of our colleagues, customers, and communities where we operate.
Avis Budget Group is an Equal Opportunity Employer – Qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other category protected by applicable law.
This advertisement does not constitute a promise or guarantee of employment. This advertisement describes the general nature and level of this position only. Essential functions and responsibilities may change as business needs require. The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. This position may be with any affiliate of Avis Budget Group.
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Who's Hiring



Top Industries Hiring
- Technology & Software24
- Banking & Financial Services8
- Consulting & Professional Services7
- Electronics & Hardware6
- Investment & Asset Management6
Mid Level AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a mid level ai solutions engineer job?
Position your existing experience around ownership: highlight projects where you drove a solution from requirements through deployment, not just contributed to one. Emphasize hands-on work with large language models, ML pipelines, or AI integration APIs, and show the business impact of what you built. Applications that demonstrate independent judgment and measurable outcomes stand out over those that just list tools.
Which companies hire mid level ai solutions engineers?
Companies hiring mid level ai solutions engineers right now include KPMG, NTT DATA, and Amazon, based on current listings on Migrate Mate as of August 2026. Hiring at this level covers technology consultancies, enterprise software vendors, and large organizations across finance, healthcare, and retail that are actively building internal AI capabilities.
Are there remote mid level ai solutions engineer jobs?
Yes, remote and hybrid roles are a substantial share of the market at this level. About 49% of mid level ai solutions engineer openings are remote or hybrid as of August 2026, reflecting how much AI engineering work can be done distributed. On-site roles tend to cluster at companies with regulated data environments or hands-on infrastructure requirements.
How do I move up to a mid level ai solutions engineer role?
The path from entry level to mid level centers on taking on increasing ownership rather than accumulating years. Build depth in one or two AI domains, such as NLP, computer vision, or ML ops, until you can design solutions independently. Seek out projects where you lead delivery, handle stakeholder communication, and make technical tradeoffs. Demonstrating measurable impact on real systems is what signals readiness for mid level responsibilities.
Which industries hire the most mid level ai solutions engineers?
Mid Level ai solutions engineer roles concentrate in Technology & Software, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring because they are actively embedding AI into customer-facing products, internal workflows, and data platforms, creating sustained demand for engineers who can own solution design at a mid level of seniority.