Senior Solutions Engineer Jobs at Deloitte with Visa Sponsorship
Deloitte hires Senior Solutions Engineers to bridge client strategy and technical delivery across its consulting practices. The company has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical and client-facing 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 Senior Solutions Engineer Jobs at Deloitte Jobs
Align your credentials to consulting delivery contexts
Deloitte's Solutions Engineers are expected to operate at the intersection of enterprise technology and client advisory. Frame your resume around client-facing implementations, stakeholder management, and outcomes delivered, not just internal engineering projects.
Target Deloitte's industry-aligned practice areas
Deloitte organizes hiring around industry verticals like Government and Public Services, Financial Services, and Technology. Identifying which practice your background fits tightens your application and signals to recruiters that you understand how their delivery model works.
Clarify your visa category before the offer stage
Deloitte sponsors multiple visa types for this role. Knowing whether your situation fits H-1B, H-1B1, or E-3 before negotiations begin prevents delays. If your cap-subject H-1B is pending a lottery, confirm with the recruiter whether a cap-exempt entity within Deloitte's structure is an option.
Understand how LCA prevailing wage affects your offer
Deloitte must file a Labor Condition Application with DOL before your H-1B or E-3 petition is submitted. The certified wage on the LCA sets a floor for your salary. If your offer is below the prevailing wage for your work location, the LCA will not certify.
Use Migrate Mate to surface open roles by visa type
Deloitte posts Senior Solutions Engineer roles across multiple practice areas simultaneously. Use Migrate Mate to filter open positions by the visa types Deloitte sponsors, so you can prioritize applications where your sponsorship category is already an established fit.
Prepare for a multi-round technical and case interview process
Deloitte's Solutions Engineer interviews typically include a technical assessment alongside a case-style problem. Practicing the case format alongside system design questions gives you a stronger position than technical preparation alone, which is what most applicants stop at.
Senior Solutions Engineer at Deloitte jobs are hiring across the US. Find yours.
Find Senior Solutions Engineer at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Senior Solutions Engineers?
Yes, Deloitte sponsors H-1B visas for Senior Solutions Engineer roles. The process requires Deloitte to first file a Labor Condition Application with the DOL, then submit an I-129 petition to USCIS on your behalf. Cap-subject H-1B sponsorship is tied to the annual lottery, so timing your offer relative to the April filing window matters.
Which visa types does Deloitte sponsor for Senior Solutions Engineer roles?
Deloitte sponsors H-1B, H-1B1, and E-3 visas for this role, along with supporting employment-based Green Card pathways including EB-2 and EB-3. H-1B1 applies to Chilean and Singaporean nationals, and the E-3 is exclusive to Australian citizens. Each category has different filing requirements and processing timelines, so your nationality determines which path applies.
What qualifications and experience does Deloitte expect for Senior Solutions Engineer roles?
Deloitte typically looks for candidates with a bachelor's degree in a technical field, several years of experience delivering enterprise software or cloud solutions, and demonstrable client-facing experience. Consulting-specific platforms like Salesforce, SAP, or cloud infrastructure tools appear frequently in job descriptions. A specialty occupation degree requirement must be met to support H-1B or E-3 sponsorship.
How do I apply for Senior Solutions Engineer jobs at Deloitte?
You can find open Senior Solutions Engineer positions at Deloitte through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your category is supported before applying. Applications go through Deloitte's careers portal. Tailor your resume to the specific practice area and industry vertical listed in the job description, since Deloitte hiring teams are organized by sector.
How do I understand the sponsorship timeline for a Senior Solutions Engineer offer at Deloitte?
Once you receive an offer, Deloitte's immigration team typically initiates the LCA filing with DOL before submitting your visa petition to USCIS. For cap-subject H-1B petitions, USCIS only accepts filings in April for an October 1 start date, which can mean a gap between your offer and your authorized start. E-3 and H-1B1 petitions are not cap-subject and can be filed year-round, with USCIS processing times generally ranging from a few weeks to several months depending on whether premium processing is used.
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