Cloud Sales Engineer Jobs at Deloitte with Visa Sponsorship
Cloud Sales Engineer jobs at Deloitte bridge technical cloud solutions and client consulting engagements across the firm's U.S. practice. The firm has a well-established sponsorship infrastructure that supports international candidates across multiple visa categories, making it a realistic target for skilled professionals who need work authorization.
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Get Access To All JobsINTRODUCTION
Deloitte is seeking an AI Cloud Security Engineer, Senior Consultant to design, build, and secure next-generation AI-enabled products, platforms, and cloud environments. This engineering-focused Senior Consultant role combines artificial intelligence (AI) security architecture, AI Zero Trust, secure AI software development, cloud security engineering, and AI-enabled vulnerability discovery and remediation.
You will apply hands-on software engineering, cybersecurity, and cloud architecture experience to lead delivery of production-quality solutions that help clients build resilient AI platforms and embed security throughout the technology lifecycle.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an AI Cloud Security Engineer, Senior Consultant on the Cyber and Cloud Security team, you will be responsible for:
- Designing secure architectures for generative AI, agentic AI, retrieval-augmented generation (RAG), model-serving, and AI-enabled enterprise applications; defining security boundaries and applying AI Zero Trust controls across models, agents, tools, application programming interfaces (APIs), data, cloud workloads, development pipelines, and runtime environments
- Embedding security across the AI software development lifecycle through threat modeling, security gates, model and prompt versioning, evaluation datasets, approval workflows, release criteria, and testing for prompt injection, data leakage, unsafe tool use, model abuse, and policy violations
- Designing and implementing secure AI workloads across Amazon Web Services, Microsoft Azure, Google Cloud, and hybrid environments, including cloud landing zones, network isolation, private connectivity, logging, encryption, key management, data protection, containers, serverless workloads, Kubernetes, and infrastructure-as-code controls
- Building AI-assisted capabilities to identify, analyze, prioritize, test, and remediate vulnerabilities across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads; implementing human approval and validation before high-impact remediation is deployed
- Developing production AI security applications and platforms using user experiences, APIs, backend services, microservices, event-driven workflows, RAG, model integrations, observability, and unit, integration, end-to-end, performance, security, and AI evaluation testing
- Leading client discovery, architecture sessions, technical workshops, design reviews, deployment, and operational handoff; creating reusable reference architectures, technical standards, playbooks, and accelerators; mentoring engineers and contributing to practice development
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale. Our professionals work across security architecture, cloud engineering, application security, AI, risk, and technology transformation to help clients design resilient platforms and embed security into how technology is built and operated.
This future-focused engineering capability operates at the intersection of AI, cybersecurity, cloud, and software delivery. The team builds reusable platforms, accelerators, reference architectures, and implementation patterns that help clients secure AI innovation from design through production.
QUALIFICATIONS
Required:
- Bachelor's degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering; equivalent professional work experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting may be considered in lieu of a degree
- 3+ years of professional experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting, including hands-on experience designing and implementing software, AI, cloud security, or cybersecurity solutions
- Hands-on experience using at least one of the following AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI
- Experience designing or implementing cloud security architecture, secure application development, development, security, and operations (DevSecOps), infrastructure security, or AI security controls
- Experience developing and deploying APIs, database-backed services, distributed systems, or cloud applications using Python, TypeScript, JavaScript, Go, or Java, including automated testing, deployment, and observability
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Production experience securing Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI
- Experience designing AI Zero Trust architectures or implementing security controls for models, agents, tools, data, and AI runtime environments
- Experience conducting AI red teaming, adversarial testing, model evaluation, prompt security testing, RAG security testing, or responsible AI control testing
- Experience developing applications using React, Next.js, Node.js, FastAPI, GraphQL, Representational State Transfer (REST) APIs, microservices, or event-driven systems
- Experience implementing policy-as-code, infrastructure-as-code security, or automated remediation using Terraform, Open Policy Agent, Checkov, tfsec, Kyverno, static application security testing (SAST), dynamic application security testing (DAST), software composition analysis, secrets scanning, or container security tools
- Experience securing Kubernetes, containers, serverless platforms, cloud-native applications, or software supply chains
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 $105,400 to $207,800.
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.
CyberES27
INTRODUCTION
Deloitte is seeking an AI Cloud Security Engineer, Senior Consultant to design, build, and secure next-generation AI-enabled products, platforms, and cloud environments. This engineering-focused Senior Consultant role combines artificial intelligence (AI) security architecture, AI Zero Trust, secure AI software development, cloud security engineering, and AI-enabled vulnerability discovery and remediation.
You will apply hands-on software engineering, cybersecurity, and cloud architecture experience to lead delivery of production-quality solutions that help clients build resilient AI platforms and embed security throughout the technology lifecycle.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an AI Cloud Security Engineer, Senior Consultant on the Cyber and Cloud Security team, you will be responsible for:
- Designing secure architectures for generative AI, agentic AI, retrieval-augmented generation (RAG), model-serving, and AI-enabled enterprise applications; defining security boundaries and applying AI Zero Trust controls across models, agents, tools, application programming interfaces (APIs), data, cloud workloads, development pipelines, and runtime environments
- Embedding security across the AI software development lifecycle through threat modeling, security gates, model and prompt versioning, evaluation datasets, approval workflows, release criteria, and testing for prompt injection, data leakage, unsafe tool use, model abuse, and policy violations
- Designing and implementing secure AI workloads across Amazon Web Services, Microsoft Azure, Google Cloud, and hybrid environments, including cloud landing zones, network isolation, private connectivity, logging, encryption, key management, data protection, containers, serverless workloads, Kubernetes, and infrastructure-as-code controls
- Building AI-assisted capabilities to identify, analyze, prioritize, test, and remediate vulnerabilities across code, applications, APIs, cloud configurations, infrastructure, dependencies, containers, and AI workloads; implementing human approval and validation before high-impact remediation is deployed
- Developing production AI security applications and platforms using user experiences, APIs, backend services, microservices, event-driven workflows, RAG, model integrations, observability, and unit, integration, end-to-end, performance, security, and AI evaluation testing
- Leading client discovery, architecture sessions, technical workshops, design reviews, deployment, and operational handoff; creating reusable reference architectures, technical standards, playbooks, and accelerators; mentoring engineers and contributing to practice development
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Cyber and Cloud Security teams help organizations adopt emerging technologies securely and at scale. Our professionals work across security architecture, cloud engineering, application security, AI, risk, and technology transformation to help clients design resilient platforms and embed security into how technology is built and operated.
This future-focused engineering capability operates at the intersection of AI, cybersecurity, cloud, and software delivery. The team builds reusable platforms, accelerators, reference architectures, and implementation patterns that help clients secure AI innovation from design through production.
QUALIFICATIONS
Required:
- Bachelor's degree in Information Technology, Computer Science, Artificial Intelligence, Cybersecurity, Computer Engineering, or Software Engineering; equivalent professional work experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting may be considered in lieu of a degree
- 3+ years of professional experience in software engineering, AI engineering, cybersecurity, cloud security, application security, or technology consulting, including hands-on experience designing and implementing software, AI, cloud security, or cybersecurity solutions
- Hands-on experience using at least one of the following AI platforms: Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI
- Experience designing or implementing cloud security architecture, secure application development, development, security, and operations (DevSecOps), infrastructure security, or AI security controls
- Experience developing and deploying APIs, database-backed services, distributed systems, or cloud applications using Python, TypeScript, JavaScript, Go, or Java, including automated testing, deployment, and observability
- Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Production experience securing Anthropic Claude, Claude Code, OpenAI, Google Gemini, Amazon Bedrock, or Vertex AI
- Experience designing AI Zero Trust architectures or implementing security controls for models, agents, tools, data, and AI runtime environments
- Experience conducting AI red teaming, adversarial testing, model evaluation, prompt security testing, RAG security testing, or responsible AI control testing
- Experience developing applications using React, Next.js, Node.js, FastAPI, GraphQL, Representational State Transfer (REST) APIs, microservices, or event-driven systems
- Experience implementing policy-as-code, infrastructure-as-code security, or automated remediation using Terraform, Open Policy Agent, Checkov, tfsec, Kyverno, static application security testing (SAST), dynamic application security testing (DAST), software composition analysis, secrets scanning, or container security tools
- Experience securing Kubernetes, containers, serverless platforms, cloud-native applications, or software supply chains
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 $105,400 to $207,800.
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.
CyberES27
See all Cloud Sales Engineer Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Sales Engineer Jobs at Deloitte.
Get Access To All JobsTips for Finding Cloud Sales Engineer Jobs at Deloitte
Align your cloud certifications to Deloitte's alliances
Deloitte maintains formal partnerships with AWS, Microsoft Azure, and Google Cloud. Holding an active certification in one of these platforms signals direct project readiness and strengthens a specialty occupation argument during H-1B petition preparation.
Frame your background around billable consulting outcomes
Deloitte evaluates Cloud Sales Engineers on revenue enablement and client acquisition, not just technical depth. Position your experience around won deals, expanded accounts, or solution designs that closed contracts, since that framing maps to how Deloitte classifies and sponsors this role.
Target Deloitte's industry verticals with cloud transformation mandates
Deloitte structures hiring around sector teams, including financial services, government, and healthcare. Applying to openings anchored in a vertical where cloud modernization is active gives you a stronger fit signal and faster internal routing toward sponsorship-eligible requisitions.
Verify your LCA timing before accepting any verbal offer
Your employer must file a certified Labor Condition Application with the DOL before USCIS can adjudicate your H-1B petition. Confirm with the recruiter that Deloitte's immigration team has started the LCA before you give notice to a current employer.
Browse open Cloud Sales Engineer roles using Migrate Mate
Filtering by verified sponsorship history saves significant time when targeting firms like Deloitte. Use Migrate Mate to surface current Cloud Sales Engineer openings at Deloitte and confirm the role is actively hiring before you invest in tailoring your application.
Prepare a degree-to-role equivalency memo before interviews
USCIS scrutinizes specialty occupation status for sales-adjacent engineering titles. If your degree field does not directly map to cloud architecture or systems engineering, document how your coursework and experience satisfy the theoretical and practical application standard the petition requires.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Cloud Sales Engineers?
Yes, Deloitte sponsors H-1B visas for Cloud Sales Engineers as part of its broader immigration support program. The firm works with dedicated immigration counsel to file petitions, manage Labor Condition Applications with the DOL, and guide candidates through the process. Sponsorship is typically confirmed during the offer stage, so clarify timing with your recruiter early.
Which visa types does Deloitte commonly use for Cloud Sales Engineer roles?
Deloitte sponsors H-1B visas for most international hires in this role, along with the H-1B1 visa for Singaporean and Chilean nationals and the E-3 visa for Australian citizens. For candidates pursuing permanent residence, Deloitte supports EB-2 and EB-3 Green Card pathways. The right category depends on your nationality, degree level, and the specific position classification.
How do I apply for Cloud Sales Engineer jobs at Deloitte?
You can apply through Deloitte's careers portal or use Migrate Mate to browse current Cloud Sales Engineer openings at Deloitte filtered by visa sponsorship eligibility. Tailor your application to emphasize cloud platform expertise and client-facing revenue outcomes, since Deloitte's recruiting process evaluates both technical qualifications and consulting business development capabilities from the first screen.
What qualifications does Deloitte expect for a Cloud Sales Engineer role?
Deloitte typically looks for a bachelor's degree in computer science, information systems, or a closely related engineering field. Active certifications from AWS, Microsoft Azure, or Google Cloud are weighted heavily. Consulting experience with enterprise clients, familiarity with cloud migration frameworks, and demonstrated ability to translate technical architecture into business value are all factors that differentiate competitive candidates.
How do I understand the H-1B timeline if I receive an offer from Deloitte?
H-1B petitions are subject to an annual cap with a lottery held each spring for an October 1 start date. If you receive an offer outside that window, Deloitte may file under cap-exempt provisions or explore alternative visa categories. Once selected in the lottery, USCIS typically takes two to four months to adjudicate a standard petition, though premium processing can reduce that to 15 business days.