Remote AI Solutions Engineer Jobs
Remote AI Solutions Engineer jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, financial services, and enterprise software. Employers posting remote roles right now include Provectus, T12 Technologies, and Genesys. Find a role that fits below and apply directly.
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Director, Applied AI Assessment Solutions
College Board – Assessment Design and Development | Learning & Assessment
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
Assessment Design & Development (AD&D) is Learning & Assessment’s content engine—the department responsible for the item and assessment development that powers the SAT Suite. AD&D is expanding its mandate: beyond sustaining operational excellence for SAT, the department is building the shared infrastructure to scale content production across programs and designing the new item types and assessment formats the future of assessments demands.
Applied AI Assessment Solutions is AD&D’s team dedicated to this work: leading the shared strategy, standards, systems design, and prototype tooling that let every College Board program accelerate item development without compromising quality. The team operates as an internal, enterprise-wide consultancy: Directors, Applied AI Assessment Solutions, work across College Board’s assessment programs—including the SAT Suite, AP, ACCUPLACER, CLEP, and PAA—partnering closely with each program’s content teams to design solutions that help programs accelerate and scale item development.
About the Opportunity
As a Director, Applied AI Assessment Solutions, you translate deep item-development expertise into working AI solutions for the programs you support—applying hands-on fluency in item development and review, automated item generation (AIG), retrieval-augmented generation (RAG), prompt and context engineering, agentic workflow design, and systematic output evaluation to accelerate assessment content development across College Board’s programs. Working as part of an internal consultancy, you help identify and scope the engagements where your expertise will have the greatest impact, partnering with the Executive Director and program stakeholders to assess opportunity, negotiate scope, and define what a successful engagement looks like before work begins. During engagements, you partner with a program’s content team representatives to design and build point solutions that address specific production challenges. You also contribute to longer-range AI-enablement initiatives to integrate applied AI functionality into content authoring and item banking systems.
Across your engagements, you’ll play a crucial role in shaping how College Board’s programs leverage new tools to support their content teams, ethically and effectively integrating AI technology in assessment creation and review. With your team, you work to maximize ROI and efficiency of each tool, minimizing duplicative efforts across the enterprise, while meeting each program’s unique requirements.
In this role, you will:
Program AI Solution Design & Implementation (60%)
- Lead end-to-end delivery for assigned CB assessment program engagements: apply deep item development and AI expertise to define the problem and requirements, design and build the AI tools, prompts, and workflows, and deliver a working solution along with a training and adoption plan that partner teams can execute against.
- Apply expert judgment throughout the iterative building process—evaluating output at each iteration against the standards of an advanced domain subject matter expert, catching construct misalignment, flawed reasoning, bias, and factual errors early enough to correct course, and refining prompts, context, and workflows accordingly—and own final quality sign-off on tools before they are delivered to partner teams.
- Establish the quality standards and evaluation criteria used to assess AI-generated content systematically, translating domain expertise into defined rubrics, benchmarks, or scoring frameworks that others on the team can apply consistently.
- Identify and articulate requirements for systems-based solutions requiring input and resources from additional stakeholders.
- Diagnose gaps and document conditions for scaling enablement, ranging from culture and staffing, process improvements, and technological capabilities and use these findings to shape the team's engagement priorities and each program's roadmap for AI-enabled item development.
Agentic Workflow Contribution (20%)
- Work within and across teams to define agentic workflow standards and inputs, contributing assessment expertise and on-the-ground evidence from across your program engagements to inform the broader agentic-human hybrid architecture the Applied AI Assessment Solutions team leads with partners in Technology and Digital Product.
- Surface patterns, gaps, and opportunities from your program engagements that inform enterprise-wide strategy and roadmaps.
- Represent the needs and constraints of the programs you support in cross-program discussions about shared tooling and methodology.
Training, Adoption & Change Management (10%)
- Design and deliver trainings that build content teams’ fluency and comfort with AI-assisted and agentic workflows across the programs you support, gathering and responding to feedback to improve adoption.
- Develop process documentation so program teams can adopt new tools effectively and responsibly.
- Establish and document impact metrics to measure and report program progress toward targets related to item acceleration, production quality, or other defined goals.
- Uphold College Board’s standards of excellence in assessment design and development, ensuring AI-enablement centers human content and assessment expertise—and never compromises the quality of any program’s assessments.
Professional Growth & Field Currency (10%)
- Continue learning and improving to stay current in both your content domain and applied AI so your practice keeps pace with rapidly evolving fields.
- Experiment hands-on with emerging AI tools, models, and techniques to build informed judgment about their strengths, limitations, and fit for assessment content development.
- Regularly present what you learn with your team and internal communities of practice, keeping yours and your team’s standards and practices current with frontier capabilities.
- Attend and represent the organization at relevant external professional meetings and conferences.
About You
You have:
- 7+ years of experience in standardized assessment item development across a range of item types (multiple-choice, free response, and discrete and set-based items), with advanced, expert-level command of item-writing craft and construct alignment—including the ability to quickly identify flaws, gaps in reasoning, and errors in AI-generated content.
- An infectious enthusiasm for experimentation and new technology; you are an early adopter, naturally drawn to testing new tools, models, and approaches.
- Deep subject-matter expertise in assessment of one of the following content domains: Reading Comprehension, Writing, Math, or Science.
- 3+ years of hands-on experience applying AI-assisted or agentic techniques—including automated item generation (AIG), retrieval-augmented generation (RAG), prompt engineering, and context engineering—within professional or assessment-development workflows.
- Demonstrated experience bringing ideas for process or technology improvements to adoption, with measurable impact on the efficiency and/or quality of item or content production.
- Working knowledge of large language model capabilities and limitations—including common failure modes such as hallucination, context-window constraints, and training-data staleness—sufficient to diagnose why a pipeline is producing flawed output and reason about a fix.
- Experience designing or working within agentic and multi-agent workflows, such as generator/reviewer or generator/critic patterns, tool-calling, and chained or orchestrated prompts.
- Experience with vibe coding (or coding) and rapid prototyping, with demonstrated ability to independently build working scripts, tools, or interactive prototypes to test new ideas quickly.
- Experience designing new processes, educating others, and enabling successful adoption of new tools, processes, and systems.
- Ability to bridge technical and non-technical conversations; translating user needs into technical requirements and technical concepts into user-accessible strategies and practices.
- Proven ability to collaborate effectively with cross-functional teams to drive strategic initiatives and achieve organizational goals.
- A relationship-building approach that’s motivated by a strong, user-centric orientation.
- Excellent organizational and planning skills, with the ability to manage multiple tasks and maintain close attention to detail.
- Demonstrated ability to implement processes and procedures, manage project plans and schedules, and maintain tracking documentation.
- Experience with the item- and test-development life cycle, digital item authoring and review tools, and content management / item banking systems.
- Comfort working with ambiguity in a fast-paced environment where priorities may adjust as new information or challenges arise.
- An ability to travel 6-8 times per year.
- A master’s degree or equivalent education and experience is strongly preferred.
All roles at College Board require:
- A passion for expanding educational and career opportunities and mission-driven work.
- Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.
- Clear and concise communication skills, written and verbal.
- A learner’s mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
- A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
- A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
- Authorization to work in the United States.
About Our Process
- Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as item review and analysis, a panel interview, a conversation with leadership and reference checks.
What We Offer
At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
- The hiring range for this role is $88,000 - $135,000.
- Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
- We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
- We adjust salaries by location to ensure fairness, no matter where you live.
#LI-Remote
#LI-MW1
Director, Applied AI Assessment Solutions
College Board – Assessment Design and Development | Learning & Assessment
Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office).
Type: This is a full-time position
About the Team
Assessment Design & Development (AD&D) is Learning & Assessment’s content engine—the department responsible for the item and assessment development that powers the SAT Suite. AD&D is expanding its mandate: beyond sustaining operational excellence for SAT, the department is building the shared infrastructure to scale content production across programs and designing the new item types and assessment formats the future of assessments demands.
Applied AI Assessment Solutions is AD&D’s team dedicated to this work: leading the shared strategy, standards, systems design, and prototype tooling that let every College Board program accelerate item development without compromising quality. The team operates as an internal, enterprise-wide consultancy: Directors, Applied AI Assessment Solutions, work across College Board’s assessment programs—including the SAT Suite, AP, ACCUPLACER, CLEP, and PAA—partnering closely with each program’s content teams to design solutions that help programs accelerate and scale item development.
About the Opportunity
As a Director, Applied AI Assessment Solutions, you translate deep item-development expertise into working AI solutions for the programs you support—applying hands-on fluency in item development and review, automated item generation (AIG), retrieval-augmented generation (RAG), prompt and context engineering, agentic workflow design, and systematic output evaluation to accelerate assessment content development across College Board’s programs. Working as part of an internal consultancy, you help identify and scope the engagements where your expertise will have the greatest impact, partnering with the Executive Director and program stakeholders to assess opportunity, negotiate scope, and define what a successful engagement looks like before work begins. During engagements, you partner with a program’s content team representatives to design and build point solutions that address specific production challenges. You also contribute to longer-range AI-enablement initiatives to integrate applied AI functionality into content authoring and item banking systems.
Across your engagements, you’ll play a crucial role in shaping how College Board’s programs leverage new tools to support their content teams, ethically and effectively integrating AI technology in assessment creation and review. With your team, you work to maximize ROI and efficiency of each tool, minimizing duplicative efforts across the enterprise, while meeting each program’s unique requirements.
In this role, you will:
Program AI Solution Design & Implementation (60%)
- Lead end-to-end delivery for assigned CB assessment program engagements: apply deep item development and AI expertise to define the problem and requirements, design and build the AI tools, prompts, and workflows, and deliver a working solution along with a training and adoption plan that partner teams can execute against.
- Apply expert judgment throughout the iterative building process—evaluating output at each iteration against the standards of an advanced domain subject matter expert, catching construct misalignment, flawed reasoning, bias, and factual errors early enough to correct course, and refining prompts, context, and workflows accordingly—and own final quality sign-off on tools before they are delivered to partner teams.
- Establish the quality standards and evaluation criteria used to assess AI-generated content systematically, translating domain expertise into defined rubrics, benchmarks, or scoring frameworks that others on the team can apply consistently.
- Identify and articulate requirements for systems-based solutions requiring input and resources from additional stakeholders.
- Diagnose gaps and document conditions for scaling enablement, ranging from culture and staffing, process improvements, and technological capabilities and use these findings to shape the team's engagement priorities and each program's roadmap for AI-enabled item development.
Agentic Workflow Contribution (20%)
- Work within and across teams to define agentic workflow standards and inputs, contributing assessment expertise and on-the-ground evidence from across your program engagements to inform the broader agentic-human hybrid architecture the Applied AI Assessment Solutions team leads with partners in Technology and Digital Product.
- Surface patterns, gaps, and opportunities from your program engagements that inform enterprise-wide strategy and roadmaps.
- Represent the needs and constraints of the programs you support in cross-program discussions about shared tooling and methodology.
Training, Adoption & Change Management (10%)
- Design and deliver trainings that build content teams’ fluency and comfort with AI-assisted and agentic workflows across the programs you support, gathering and responding to feedback to improve adoption.
- Develop process documentation so program teams can adopt new tools effectively and responsibly.
- Establish and document impact metrics to measure and report program progress toward targets related to item acceleration, production quality, or other defined goals.
- Uphold College Board’s standards of excellence in assessment design and development, ensuring AI-enablement centers human content and assessment expertise—and never compromises the quality of any program’s assessments.
Professional Growth & Field Currency (10%)
- Continue learning and improving to stay current in both your content domain and applied AI so your practice keeps pace with rapidly evolving fields.
- Experiment hands-on with emerging AI tools, models, and techniques to build informed judgment about their strengths, limitations, and fit for assessment content development.
- Regularly present what you learn with your team and internal communities of practice, keeping yours and your team’s standards and practices current with frontier capabilities.
- Attend and represent the organization at relevant external professional meetings and conferences.
About You
You have:
- 7+ years of experience in standardized assessment item development across a range of item types (multiple-choice, free response, and discrete and set-based items), with advanced, expert-level command of item-writing craft and construct alignment—including the ability to quickly identify flaws, gaps in reasoning, and errors in AI-generated content.
- An infectious enthusiasm for experimentation and new technology; you are an early adopter, naturally drawn to testing new tools, models, and approaches.
- Deep subject-matter expertise in assessment of one of the following content domains: Reading Comprehension, Writing, Math, or Science.
- 3+ years of hands-on experience applying AI-assisted or agentic techniques—including automated item generation (AIG), retrieval-augmented generation (RAG), prompt engineering, and context engineering—within professional or assessment-development workflows.
- Demonstrated experience bringing ideas for process or technology improvements to adoption, with measurable impact on the efficiency and/or quality of item or content production.
- Working knowledge of large language model capabilities and limitations—including common failure modes such as hallucination, context-window constraints, and training-data staleness—sufficient to diagnose why a pipeline is producing flawed output and reason about a fix.
- Experience designing or working within agentic and multi-agent workflows, such as generator/reviewer or generator/critic patterns, tool-calling, and chained or orchestrated prompts.
- Experience with vibe coding (or coding) and rapid prototyping, with demonstrated ability to independently build working scripts, tools, or interactive prototypes to test new ideas quickly.
- Experience designing new processes, educating others, and enabling successful adoption of new tools, processes, and systems.
- Ability to bridge technical and non-technical conversations; translating user needs into technical requirements and technical concepts into user-accessible strategies and practices.
- Proven ability to collaborate effectively with cross-functional teams to drive strategic initiatives and achieve organizational goals.
- A relationship-building approach that’s motivated by a strong, user-centric orientation.
- Excellent organizational and planning skills, with the ability to manage multiple tasks and maintain close attention to detail.
- Demonstrated ability to implement processes and procedures, manage project plans and schedules, and maintain tracking documentation.
- Experience with the item- and test-development life cycle, digital item authoring and review tools, and content management / item banking systems.
- Comfort working with ambiguity in a fast-paced environment where priorities may adjust as new information or challenges arise.
- An ability to travel 6-8 times per year.
- A master’s degree or equivalent education and experience is strongly preferred.
All roles at College Board require:
- A passion for expanding educational and career opportunities and mission-driven work.
- Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively.
- Clear and concise communication skills, written and verbal.
- A learner’s mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input.
- A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking.
- A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success.
- Authorization to work in the United States.
About Our Process
- Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as item review and analysis, a panel interview, a conversation with leadership and reference checks.
What We Offer
At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market.
A Thoughtful Approach to Compensation
- The hiring range for this role is $88,000 - $135,000.
- Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board.
- We aim to make our best offer upfront, rooted in fairness, transparency, and market data.
- We adjust salaries by location to ensure fairness, no matter where you live.
#LI-Remote
#LI-MW1
See All 112+ Remote AI Solutions Engineer Jobs
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
- Education
- Insurance
- Automotive
What Employers Look For
The qualifications that appear most often in remote 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 Remote AI Solutions Engineer Job Search
Document your AI builds for async review
Remote hiring managers evaluate your work without meeting you first. Write up each AI project with the problem, your architecture choices, tools used, and measurable outcomes. Clear async documentation signals you can work independently and communicate across time zones.
Target companies with distributed engineering teams
Remote ai solutions engineer roles concentrate at remote-first software firms and enterprises with distributed product teams. Focus your search on companies that have publicly shipped AI products to business clients, since those teams have established remote workflows and dedicated headcount for this role.
Apply early to remote roles that fit
Migrate Mate lists remote ai solutions engineer openings from across the U.S. in one place. Search by role and apply directly to the positions that match your stack and experience level. Remote roles close fast when hiring managers are working asynchronously and reviewing applications on a rolling basis.
Prepare for async-heavy remote interviews
Many remote ai solutions engineer interview processes include take-home technical assessments, async video responses, or written design reviews before any live call. Practice explaining ML architecture decisions in writing and build comfort with asynchronous feedback loops before your first screening round.
Remote AI Solutions Engineer Jobs: Frequently Asked Questions
How do I get a remote ai solutions engineer job?
Remote ai solutions engineer roles go to candidates who can demonstrate both technical depth and the ability to work without daily supervision. Remote-first companies and distributed enterprise teams screen heavily for written communication, async collaboration, and hands-on experience with ML frameworks, cloud platforms, and solution architecture. Building a portfolio of deployed AI projects, contributing to open-source work, and showing clear documentation habits give you a measurable edge over candidates who only list credentials.
Which companies hire remote ai solutions engineers?
Remote ai solutions engineer roles are posted by Provectus, T12 Technologies, and Genesys and others right now, based on current remote listings on Migrate Mate as of September 2026. The hiring companies tend to be remote-first technology firms, distributed SaaS platforms, and enterprise software organizations that build and sell AI-driven products to business clients.
Can you get a remote ai solutions engineer job with no experience?
Yes, but remote entry-level ai solutions engineer roles are competitive because you're expected to operate independently from day one without on-site guidance. Remote-first startups and smaller distributed teams are more open to junior candidates than large enterprises. What opens the door is a portfolio of real AI builds, demonstrated ability to communicate technical decisions in writing, and familiarity with the tools remote teams actually use, such as cloud ML services and async project management systems.
Do you need a degree for remote ai solutions engineer jobs?
Not always. Many remote employers weigh demonstrated skills, a strong project portfolio, and relevant certifications more heavily than a specific degree when hiring ai solutions engineers. Proficiency with machine learning frameworks, cloud architecture, and the ability to translate AI capabilities into client-facing solutions matters more to most distributed teams than where you studied. A degree in computer science or a related field can accelerate screening, but verifiable work and results can substitute for it.
Which industries hire the most remote ai solutions engineers?
Remote ai solutions engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Education, based on current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed engineering and customer success teams that build, deploy, and support AI solutions without requiring engineers to sit in a single office.
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