Cloud AI Architect Jobs at Deloitte with Visa Sponsorship
Deloitte hires Cloud AI Architects across its consulting practices to lead enterprise cloud transformation and AI strategy engagements. The firm has a well-established immigration program and regularly sponsors work visas for this function, making it a realistic target for international candidates with the right technical and consulting credentials.
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Get Access To All JobsINTRODUCTION
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions.
Are you eager to shape the future of emerging technologies? Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte Business, is looking to add a Senior AI Engineer to their vibrant environment. SFL Scientific is part of our broader Strategy Offering within the Strategy & Transactions practice, whose specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Take the next step in your technical journey—develop your leadership, consulting acumen, and reputation as a trailblazer within the AI engineering field by joining our team!
Recruiting for this role ends on 12/31/2025.
ROLE AND RESPONSIBILITIES
As a Senior AI Engineer/Solutions Architect, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and deployment services for our novel machine learning applications. Key to this role is the ability to demonstrate both traditional data engineering expertise, leveraging cloud/enterprise/open-source solutions, and constructing IT infrastructure for organizations across a wide variety of industries.
In our consultative approach, we are platform agnostic and committed to providing the best technical solutions for each client and solution. Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Some of our novel use cases include cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, and renewable energy. Key responsibilities:
- Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
- Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
- Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
- Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
- Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
- Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
- Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
- Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
- Mentor, motivate, and coach junior members on technical best practices and inspire professional development
THE TEAM
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
BASIC QUALIFICATIONS
Required:
- Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
- 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
- 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
- 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
- 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
- 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
- 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
- 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
PREFERRED QUALIFICATIONS
- Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
- AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
- 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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INTRODUCTION
Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey—before, during, and after any major transformational projects or transactions.
Are you eager to shape the future of emerging technologies? Imagine joining an acclaimed team where career paths span from account executives and data scientists to AI strategists, machine learning specialists, and data engineers. SFL Scientific, a Deloitte Business, is looking to add a Senior AI Engineer to their vibrant environment. SFL Scientific is part of our broader Strategy Offering within the Strategy & Transactions practice, whose specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Take the next step in your technical journey—develop your leadership, consulting acumen, and reputation as a trailblazer within the AI engineering field by joining our team!
Recruiting for this role ends on 12/31/2025.
ROLE AND RESPONSIBILITIES
As a Senior AI Engineer/Solutions Architect, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and deployment services for our novel machine learning applications. Key to this role is the ability to demonstrate both traditional data engineering expertise, leveraging cloud/enterprise/open-source solutions, and constructing IT infrastructure for organizations across a wide variety of industries.
In our consultative approach, we are platform agnostic and committed to providing the best technical solutions for each client and solution. Our engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Some of our novel use cases include cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, and renewable energy. Key responsibilities:
- Work with clients to design, develop, and deploy new architectures to support machine learning & automation applications
- Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies
- Design and lead development on scalable, high-performance data architecture solutions that supports both the client business as well as AI/GenAI use cases
- Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and initiatives
- Participate in architectural and deployment discussions to ensure solutions are designed for successful scale, security, and high availability in the cloud or on prem
- Adopt best engineering practices in automation, HPC and AI/GenAI infrastructure and design patterns
- Define and lead technology proof of concepts to ensure feasibility of new data and cloud technology solutions
- Display strong thought leadership and execution in pursuit of modern data architecture principles and technology modernization
- Mentor, motivate, and coach junior members on technical best practices and inspire professional development
THE TEAM
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.
Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.
BASIC QUALIFICATIONS
Required:
- Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience
- 4+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
- 4+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
- 4+ years of programming experience with Linux Shell/CLI, Python, SQL, PowerShell, etc.
- 2+ years of experience managing teams in technical delivery and delivering complex and critical projects
- 2+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
- 2+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
- 2+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, etc.
- Live within commuting distance to one of Deloitte's consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
PREFERRED QUALIFICATIONS
- Master's degree in Computer Science, Engineering, Physics, etc. or related STEM field
- AWS/Azure Certifications (AWS/Azure Certified: SysOps Administrator, DevOps Engineer, Solutions Architect)
- 2+ years of experience with GPU computing (CUDA, OpenCL) and HPC system software stack
COMPENSATION
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,600 to $198,400.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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Get Access To All JobsTips for Finding Cloud AI Architect Jobs at Deloitte Jobs
Align your credentials to Deloitte's alliance ecosystem
Deloitte's Cloud AI Architect roles are tied closely to its hyperscaler alliances with AWS, Microsoft Azure, and Google Cloud. Holding active certifications from these platforms strengthens your profile before you apply and signals readiness for billable client work.
Target practice areas with active client pipelines
Deloitte hires Cloud AI Architects into specific practice areas like Government and Public Services, Financial Services, and Life Sciences. Applying to a practice with active cloud transformation mandates improves your chances of reaching a hiring decision quickly.
Use Migrate Mate to surface open Cloud AI Architect roles
Deloitte's job listings are spread across multiple portals and business units. Use Migrate Mate to filter verified Cloud AI Architect openings at Deloitte that are open to visa sponsorship, so you're not manually sorting through roles that won't support your status.
Understand how client site requirements affect your I-94
Cloud AI Architects at Deloitte are often deployed to client sites, which can complicate H-1B LCA compliance. Your employer must file a new LCA or an amended petition if your primary worksite changes significantly, so confirm how Deloitte handles this before signing an offer.
Request premium processing if your start date is fixed
Deloitte project staffing often ties onboarding to client engagement timelines. If your start date is tied to a project kickoff, ask your recruiter early whether USCIS premium processing will be used, since standard H-1B adjudication can take several months.
Cloud AI Architect at Deloitte jobs are hiring across the US. Find yours.
Find Cloud AI Architect at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Cloud AI Architects?
Yes, Deloitte sponsors H-1B visas for Cloud AI Architect roles. The firm has an established immigration program that handles petitions internally for sponsored hires. Because H-1B cap-subject petitions are subject to an annual lottery, timing your application and offer acceptance around the March registration window is important if you don't already hold H-1B status.
Which visa types does Deloitte commonly sponsor for Cloud AI Architect roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for Cloud AI Architect positions, and supports Green Card sponsorship through EB-2 and EB-3 classifications for longer-term hires. Australian citizens can pursue the E-3, and Chilean or Singaporean nationals may qualify for the H-1B1, both of which bypass the H-1B lottery and allow faster processing through consular appointments.
How do I apply for Cloud AI Architect jobs at Deloitte?
Applications go through Deloitte's careers portal, but roles are also listed on Migrate Mate, where you can filter specifically for positions open to visa sponsorship. Deloitte's hiring process for this role typically involves a recruiter screen, technical assessments focused on cloud architecture and AI solution design, and panel interviews with practice leadership before an offer is extended.
What qualifications does Deloitte expect for Cloud AI Architect roles?
Deloitte typically looks for candidates with a bachelor's or master's degree in computer science, engineering, or a related technical field, along with hands-on experience designing cloud-native and AI-integrated solutions. Active certifications from AWS, Azure, or Google Cloud carry significant weight. Consulting experience or the ability to manage client-facing engagements is expected at the senior levels of this role.
How do I plan around visa processing timelines when targeting Deloitte?
If you're pursuing an H-1B, USCIS opens the registration window in March for an October 1 start date, so align your Deloitte interview process to produce an offer before that window closes. E-3 and H-1B1 applicants can move faster since consular processing typically takes two to four weeks. For any path, confirm with your Deloitte recruiter whether premium processing is available, as project staffing timelines often depend on it.
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