DevOps Jobs at Deloitte with Visa Sponsorship
Deloitte hires DevOps engineers across cloud infrastructure, CI/CD pipeline development, and platform engineering for its consulting practices. The firm has a well-established visa sponsorship process and supports multiple nonimmigrant and immigrant visa categories for qualified DevOps candidates.
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Get Access To All JobsAI Engineer Senior Consultant
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026.
Work You'll Do:
As an AI Engineer Senior Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.
Key Responsibilities:
- Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.
- Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
- Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
- Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).
- Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk stakeholders.
- Establish data/model reliability and cost-performance discipline (data quality, schema evolution, lineage/metadata, monitoring; right-sizing, query tuning, LLM token/cost telemetry).
- Contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
- 4+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
- 4+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
- 4+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
- 4+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
- 4+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
- 4+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
- Ability to travel 0-25%, on average, based on client and project needs.
- Limited immigration sponsorship may be available.
Preferred Qualifications:
- Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
- 4+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
- 4+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
- 4+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
- 4+ years of experience with structured problem solving, translating business needs into requirements, acceptance criteria, and shippable increments.
- 4+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
- 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
- 4+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
- 4+ years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.
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 $113,100 to $208,300.
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.
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html
HCFY26 #IIOFY26
AI Engineer Senior Consultant
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026.
Work You'll Do:
As an AI Engineer Senior Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.
Key Responsibilities:
- Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product needs into secure, scalable technical designs and delivered solutions (APIs, services, pipelines, containers/serverless) meeting availability, performance, and security expectations.
- Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt/context patterns.
- Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry.
- Deliver governed datasets and feature engineering/serving for ML training and real-time inference (online/offline consistency, caching, latency SLOs, backfills).
- Implement safety, privacy, and access controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk stakeholders.
- Establish data/model reliability and cost-performance discipline (data quality, schema evolution, lineage/metadata, monitoring; right-sizing, query tuning, LLM token/cost telemetry).
- Contribute to MLOps/LLMOps and production operations (versioning, reproducibility, CI/CD, automated testing, observability, incident response); support design reviews, deployment readiness, and runbooks.
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:
- Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
- 4+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
- 4+ years implementing RAG/retrieval (document processing, embeddings, vector/hybrid search) with enterprise governance controls.
- 4+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
- 4+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
- 4+ years leading platform/integration engineering across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
- 4+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
- 4+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
- Ability to travel 0-25%, on average, based on client and project needs.
- Limited immigration sponsorship may be available.
Preferred Qualifications:
- Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
- 4+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
- 4+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
- 4+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
- 4+ years of experience with structured problem solving, translating business needs into requirements, acceptance criteria, and shippable increments.
- 4+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
- 4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
- 4+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
- 4+ years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.
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 $113,100 to $208,300.
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.
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html
HCFY26 #IIOFY26
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Get Access To All JobsTips for Finding DevOps Jobs at Deloitte Jobs
Align your certifications to Deloitte's cloud stack
Deloitte's DevOps roles frequently center on AWS, Azure, and Google Cloud. Certifications like AWS DevOps Engineer Professional or Azure DevOps Expert signal direct readiness for their delivery model and strengthen your H-1B petition's specialty occupation case.
Target Deloitte's federal practice separately
Deloitte's government and public sector practice posts DevOps roles that often require security clearance eligibility. These openings have a distinct hiring track, so filtering for commercial consulting roles avoids wasted applications if you're not clearance-eligible as a visa holder.
Browse open DevOps roles through Migrate Mate
Deloitte posts DevOps positions across multiple service lines. Use Migrate Mate to filter specifically for roles that align with your visa type, so you're applying to positions where sponsorship is actively on the table.
Clarify your status before the offer stage
Deloitte's recruiting process moves quickly once you clear final interviews. Disclose your visa status early so their immigration team can confirm sponsorship eligibility for your specific category before an offer is extended, avoiding delays at the filing stage.
Understand how H-1B cap timing affects your start date
If you're not already in H-1B status, USCIS only accepts cap-subject H-1B petitions in April for an October 1 start. Plan your interview timeline at Deloitte accordingly so an offer doesn't arrive after the filing window has closed.
Document your DevOps contributions with project-level specifics
USCIS scrutinizes specialty occupation claims for consulting roles. Prepare work samples, client project summaries, and a clear description of how your DevOps work required a specific bachelor's-level field of study, not just general technical skills.
DevOps at Deloitte jobs are hiring across the US. Find yours.
Find DevOps at Deloitte JobsFrequently Asked Questions
Does Deloitte sponsor H-1B visas for DevOps roles?
Yes, Deloitte sponsors H-1B visas for DevOps engineers and has a dedicated immigration team that manages the process internally. Sponsorship is available for cap-subject and cap-exempt situations depending on your current status. Not every open role is automatically eligible, so confirm sponsorship availability with the recruiter during your initial conversation.
Which visa types does Deloitte commonly sponsor for DevOps positions?
Deloitte sponsors H-1B visas for most international DevOps hires, along with the H-1B1 for Chilean and Singaporean nationals and the E-3 for Australian citizens. For longer-term pathways, Deloitte also supports EB-2 and EB-3 Green Card sponsorship, typically after you've established yourself in a role. The visa type offered depends on your nationality and current immigration status.
What qualifications does Deloitte expect for DevOps roles?
Deloitte typically looks for a bachelor's degree in computer science, information systems, or a closely related field. Strong candidates demonstrate hands-on experience with infrastructure-as-code tools like Terraform or Ansible, CI/CD platforms such as Jenkins or GitHub Actions, and at least one major cloud provider. Consulting experience or the ability to work across client environments is a meaningful differentiator at Deloitte compared to product companies.
How do I apply for DevOps jobs at Deloitte?
You can apply directly through Deloitte's careers site or browse sponsorship-friendly DevOps openings through Migrate Mate, which filters roles by visa type so you're not applying blind. Deloitte's process typically includes a recruiter screen, technical assessment, and multiple interview rounds with the delivery team. Disclosing your visa situation early in the recruiter call helps confirm sponsorship eligibility before you invest time in later rounds.
How long does the visa sponsorship process take if I receive an offer from Deloitte?
Timeline depends heavily on which visa category applies to you. For H-1B transfers from another employer, USCIS allows you to start work once the petition is received, with standard processing taking three to five months. For new H-1B cap filings, you'd need to clear the April lottery and wait until October 1. E-3 and H-1B1 petitions are generally faster, often resolving within a few weeks through consular processing.
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