Solutions Engineering Manager Jobs at Deloitte with Visa Sponsorship
Solutions Engineering Manager roles at Deloitte sit at the intersection of technical depth and client advisory work, typically requiring you to lead pre-sales engineering teams while shaping solution architecture for enterprise clients. Deloitte has an established process for sponsoring work visas across multiple categories for this function.
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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 passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community. Recruiting for this role ends on 2/28/2026.
ROLE AND RESPONSIBILITIES
As an AI Engineering Manager/Solutions Architect you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions. In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:
- 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
- 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
- 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
- 6+ years of programming experience with Linux Shell/CLI, Python, SQL, Powershell, etc.
- 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
- 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
- 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
- 3+ 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 $130,800 to $241,000. 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
MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy26 #SFL26
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 passionate about leading the charge in emerging technologies? Do you want to join an award-winning team offering diverse opportunities, from account executives and data scientists to AI strategists, machine learning experts, and data engineers? If so, the AI Engineering Manager at SFL Scientific might be the perfect fit. SFL Scientific, a Deloitte Business, is part of our broader Strategy Offering within the Strategy & Transactions practice. Our specialized team brings together key capabilities to design integrated solutions that drive transformational change for our clients. Join us to expand your technical career through leadership, consulting, and becoming an industry leader in the AI engineering community. Recruiting for this role ends on 2/28/2026.
ROLE AND RESPONSIBILITIES
As an AI Engineering Manager/Solutions Architect you will support the design, development, and deployment of novel AI applications across healthcare, life sciences, manufacturing, consumer, energy, and other sectors. You will lead client engagements and design and deliver architecture for complex AI and R&D type problems. AI Engineering Manager are responsible for developing design patterns, infrastructure, and engineering resources by understanding business and use case priorities, defining the data strategy, and leading application deployment to solve our clients' use cases. They work cross-functionally with data scientists, DevOps and data engineers, project managers, and industry experts to develop robust AI platforms and cloud solutions. In our consultative approach, we are platform agnostic and committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, LLM/MLOps, data engineering while streamlining IT and infrastructure. Key responsibilities include but are not limited to:
- 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
- 6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment
- 6+ years of experience in designing cloud solutions and supporting production projects, including hands-on experience with AWS services (or Azure, GCP equivalents)
- 6+ years of programming experience with Linux Shell/CLI, Python, SQL, Powershell, etc.
- 4+ years of experience managing teams in technical delivery and delivering complex and critical projects
- 4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc.
- 4+ years of experience with database development and ETL/ELT pipelines (relational, NoSQL, Neo4j)
- 3+ 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 $130,800 to $241,000. 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
MonitorDeloitte #DeloitteJobs #StrategyConsulting #DeloitteStrategy #Strategy26 #SFL26
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Get Access To All JobsTips for Finding Solutions Engineering Manager Jobs at Deloitte Jobs
Align your credentials to specialty occupation standards
Deloitte's immigration team will assess whether your Solutions Engineering Manager role qualifies as a specialty occupation for H-1B purposes. Prepare documentation linking your degree field directly to the technical and advisory responsibilities of the role, not just the job title.
Target Deloitte's industry-specific practice areas
Deloitte hires Solutions Engineering Managers across distinct verticals like financial services, government, and technology. Applying within a practice that matches your domain experience strengthens both your candidacy and your visa petition's specialty occupation argument.
Browse open roles through Migrate Mate
Deloitte posts Solutions Engineering Manager openings across multiple practice areas and office locations. Use Migrate Mate to filter specifically for roles where Deloitte has a confirmed sponsorship track record, so you're applying where the path is clearest.
Understand the LCA filing timeline before accepting an offer
Your employer must file a certified Labor Condition Application with the DOL before USCIS can process your H-1B petition. At Deloitte's scale, internal legal intake alone can take several weeks, so factor that into any start date negotiation.
Clarify E-3 or H-1B1 eligibility during the offer stage
If you're an Australian or Chilean or Singaporean national, Deloitte can sponsor you on the E-3 or H-1B1 instead of the H-1B lottery. Raise your nationality early in the offer conversation so their immigration counsel files under the correct category from the start.
Request premium processing if your start date is fixed
Deloitte's standard H-1B filings follow regular USCIS processing timelines, which can run several months. If your project start date or visa status deadline is firm, ask your recruiter whether premium processing is available for your petition before you sign.
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Find Solutions Engineering Manager at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for Solutions Engineering Managers?
Yes, Deloitte sponsors H-1B visas for Solutions Engineering Managers. The role typically qualifies as a specialty occupation given its requirements around solution architecture, technical pre-sales leadership, and degree-level expertise. Deloitte's in-house immigration team manages the full petition process, including the Labor Condition Application filing with the DOL and the I-129 petition with USCIS.
How do I apply for Solutions Engineering Manager jobs at Deloitte?
Apply directly through Deloitte's careers portal, filtering by role title and practice area. Tailor your application to the specific industry vertical you're targeting, since hiring teams are organized by practice. You can also browse verified open Solutions Engineering Manager roles at Deloitte that have a confirmed sponsorship history through Migrate Mate before applying.
Which visa types does Deloitte commonly sponsor for Solutions Engineering Manager roles?
Deloitte sponsors H-1B visas for most international candidates in this role. Australian nationals can be sponsored on the E-3 visa, which has no lottery and allows two-year renewable periods. Singaporean and Chilean nationals may qualify for the H-1B1. For candidates already on employer-sponsored immigrant pathways, Deloitte also supports EB-2 and EB-3 Green Card sponsorship.
What qualifications does Deloitte expect for a Solutions Engineering Manager role?
Deloitte typically expects a bachelor's degree in a technical field such as computer science, engineering, or information systems, combined with several years of pre-sales or solutions architecture experience. For visa sponsorship purposes, the degree field should align directly with the role's technical responsibilities. Consulting-sector experience or a background managing cross-functional technical teams strengthens your application in this practice context.
How do I time my application given H-1B cap filing deadlines?
The H-1B cap registration window opens in March each year for an October 1 start date. If you want to join Deloitte for that fiscal year cohort, you'll need a registered offer in hand before March. E-3 and H-1B1 categories are not cap-subject, so those can be filed year-round with a typical USCIS adjudication window of one to three months for regular processing.
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