AI & ML Solution Architect

Qualifications

• The perfect candidate will possess a blend of hands-on AI engineering experience and consulting acumen, allowing for clear communication with both executives and technical teams

• You should have a rich background in designing AI solutions that seamlessly integrate with enterprise systems, along with a pragmatic approach to navigating trade-offs in accuracy, cost, latency, reliability, and risk

• Bachelor's degree in data science, computer science, or a related field

• For Manager level applicants: Minimum of five years of hands-on development experience in machine learning and artificial intelligence

• For Director level applicants: At least two years of experience leading teams of AI/ML architects and developers

• Proven expertise in developing and delivering production AI/ML solutions within an enterprise context

• Strong knowledge of cloud architecture (AWS/Azure/GCP), distributed systems, and modern data platforms

• Experience with MLOps practices covering model lifecycle, monitoring, governance, and deployment automation

• Familiarity with integrating privacy and access controls along with responsible AI practices

• Ability to guide senior client stakeholders through complex decisions

• Proficiency in fostering long-term relationships with clients

• Experience leading AI/ML delivery programs and a strong command of various AI patterns

• Experience in proposal solutions, estimates, and technical documentation

• Ability to mentor junior or senior colleagues in AI/ML architecture

• Caliber to consult on build vs. buy decisions for AI/ML use cases

• Ability to adapt and thrive in an evolving environment

• Fluency in spoken and written English

• Consulting industry experience or a background in internal consulting is beneficial

• Candidate must be eligible to work in the United States and is not eligible for employer sponsorship

• This position requires in-person attendance at least two days a week, either in a Grant Thornton office or a client site

• Willingness to travel up to 60% as required by client needs

• 18 more items(s)

Responsibilities

• As an AI/ML Solution Architect, you will be responsible for transforming business goals into comprehensive AI architectures, encompassing ML/AI, application integration, data management, and governance

• You will define target-state designs, reference models, and implementation roadmaps while making informed technology choices across cloud platforms and modern tech stacks

• You will collaborate closely with security, risk, and delivery leaders to ensure that our solutions are operational, compliant, and measurable

• Additionally, you will have the opportunity to mentor teams and develop repeatable assets and accelerators, contributing to our strategic investment in AI capabilities and advisory services

• Leading discovery workshops to articulate business objectives, constraints, and measurable success criteria for AI/ML initiatives

• Translating requirements into end-to-end target-state architectures that cover data, ML/AI, application integration, security, and governance

• Defining and communicating pragmatic trade-offs regarding accuracy, latency, cost, reliability, privacy, and risk to both executive and engineering audiences

• Designing the data and model lifecycle, including pipelines, training, serving, monitoring, drift detection, and retraining, alongside establishing MLOps foundations

• Creating integration patterns with enterprise systems to ensure our solutions are operable and supportable in production

• Partnering with teams focused on security, privacy, and risk to embed essential controls into solution designs

• Producing vital delivery artifacts such as architecture diagrams, reference patterns, implementation roadmaps, and runbooks while leading architecture reviews

• Mentoring teams and developing reusable assets/accelerators to enhance the quality and scalability of our delivery

• 9 more items(s)

More job highlights

Job description

Join Grant Thornton US as we pioneer a market-leading AI practice, dedicated to delivering practical, secure, and scalable solutions for our clients.

We are actively seeking talented AI/ML Solution Architects to guide projects from discovery through to production delivery.

We have openings in various major US cities.

As an AI/ML Solution Architect, you will be responsible for transforming busines...s goals into comprehensive AI architectures, encompassing ML/AI, application integration, data management, and governance.

You will define target-state designs, reference models, and implementation roadmaps while making informed technology choices across cloud platforms and modern tech stacks.

You will collaborate closely with security, risk, and delivery leaders to ensure that our solutions are operational, compliant, and measurable.

The perfect candidate will possess a blend of hands-on AI engineering experience and consulting acumen, allowing for clear communication with both executives and technical teams.

You should have a rich background in designing AI solutions that seamlessly integrate with enterprise systems, along with a pragmatic approach to navigating trade-offs in accuracy, cost, latency, reliability, and risk.

Additionally, you will have the opportunity to mentor teams and develop repeatable assets and accelerators, contributing to our strategic investment in AI capabilities and advisory services.

Your key responsibilities will include:

• Leading discovery workshops to articulate business objectives, constraints, and measurable success criteria for AI/ML initiatives.

• Translating requirements into end-to-end target-state architectures that cover data, ML/AI, application integration, security, and governance.

• Defining and communicating pragmatic trade-offs regarding accuracy, latency, cost, reliability, privacy, and risk to both executive and engineering audiences.

• Designing the data and model lifecycle, including pipelines, training, serving, monitoring, drift detection, and retraining, alongside establishing MLOps foundations.

• Creating integration patterns with enterprise systems to ensure our solutions are operable and supportable in production.

• Partnering with teams focused on security, privacy, and risk to embed essential controls into solution designs.

• Producing vital delivery artifacts such as architecture diagrams, reference patterns, implementation roadmaps, and runbooks while leading architecture reviews.

• Mentoring teams and developing reusable assets/accelerators to enhance the quality and scalability of our delivery.

We are looking for candidates with the following qualifications:

• Bachelor's degree in data science, computer science, or a related field.

• For Manager level applicants: Minimum of five years of hands-on development experience in machine learning and artificial intelligence.

• For Director level applicants: At least two years of experience leading teams of AI/ML architects and developers.

• Proven expertise in developing and delivering production AI/ML solutions within an enterprise context.

• Strong knowledge of cloud architecture (AWS/Azure/GCP), distributed systems, and modern data platforms.

• Experience with MLOps practices covering model lifecycle, monitoring, governance, and deployment automation.

• Familiarity with integrating privacy and access controls along with responsible AI practices.

• Ability to guide senior client stakeholders through complex decisions.

• Proficiency in fostering long-term relationships with clients.

• Experience leading AI/ML delivery programs and a strong command of various AI patterns.

• Preferred: experience in regulated environments (SOX, HIPAA, PCI).

• Experience in proposal solutions, estimates, and technical documentation.

• Ability to mentor junior or senior colleagues in AI/ML architecture.

• Caliber to consult on build vs. buy decisions for AI/ML use cases.

• Ability to adapt and thrive in an evolving environment.

• Fluency in spoken and written English.

• Consulting industry experience or a background in internal consulting is beneficial.

• Candidate must be eligible to work in the United States and is not eligible for employer sponsorship.

• This position requires in-person attendance at least two days a week, either in a Grant Thornton office or a client site.

• Willingness to travel up to 60% as required by client needs.

About Us

At Grant Thornton, we prioritize making business personal and fostering trust in every outcome, both for our clients and for our employees.

We offer career paths enriched with opportunities, flexibility, and support that set us apart from the competition.

Our diverse entity framework includes Grant Thornton LLP, a licensed CPA firm for audit and assurance services, and Grant Thornton Advisors LLC for tax and advisory offerings.

In collaboration with Grant Thornton Ireland, we have developed a multinational platform that enhances our advisory capabilities across borders.

What's Next?

If you are selected for an interview, a Grant Thornton team member will reach out to schedule a discussion.

We encourage you to explore additional roles that may align with your skills and interests.

Benefits:

We understand that every individual’s needs and experiences are unique.

Therefore, we provide comprehensive benefits designed to empower you in all aspects of your life.

To learn more about our offerings, including those available for interns and seasonal employees, please visit our careers page.

Grant Thornton promotes equal employment opportunities, ensuring that all personnel decisions are made free from discrimination.

We are committed to providing reasonable accommodations for qualified applicants and employees in line with applicable laws.

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