Senior Consultant Visa Sponsorship Jobs in Maryland
Senior consultant visa sponsorship jobs in Maryland are concentrated in the Baltimore-Washington corridor, where firms like Booz Allen Hamilton, Deloitte, Leidos, and SAIC actively hire for strategy, management, and technology consulting roles. Proximity to federal agencies and defense contractors makes Maryland one of the more active sponsorship markets for senior consultants on the East Coast.
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Get Access To All JobsGenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
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 $124,658 to $179,431.
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
GenAI Full Stack Developer - Senior Consultant
Deloitte's Audit & Assurance professionals help organizations navigate business risks and opportunities - across financial, operational, information technology (IT), business, and regulatory areas - to build resilience and accelerate performance. In this role, you'll design and deliver end-to-end Generative AI (GenAI) solutions - including Retrieval-Augmented Generation (RAG) and agentic AI - that are production-ready, scalable, and aligned to enterprise risk and governance expectations.
Recruiting for this role ends on
Work you'll do
- Lead business and technical requirements elicitation with client stakeholders; own end-to-end gap analysis; translate needs into solution architecture, detailed technical specifications, and delivery-ready backlog artifacts.
- Drive design, build, test, and deployment of full-stack Generative AI (GenAI) applications (web user interface (UI), backend services, and data/model components); ensure non-functional requirements (security, performance, reliability) are met.
- Own end-to-end retrieval-augmented generation (RAG) implementations (ingestion, chunking, embedding, indexing, retrieval, orchestration); define prompt engineering standards and evaluation harnesses to measure quality and reduce hallucinations.
- Architect agentic AI workflows (tool-using agents, multi-step orchestration, multi-agent patterns); integrate into enterprise platforms and business processes with appropriate controls, auditability, and human-in-the-loop checkpoints.
- Lead model training, fine-tuning, and validation; establish evaluation approaches and key performance indicators (KPIs) for quality, robustness, bias/safety, and cost/latency; run benchmarking and iteration cycles to meet acceptance criteria.
- Own API and integration service design; deliver scalable RESTful interfaces; coordinate integration with downstream/upstream systems, identity and access management (IAM), and operational workflows.
- Lead extract, transform, load (ETL) and data engineering pipeline delivery to curate governed datasets for GenAI solutions; partner with data governance and risk teams on lineage, access controls, and data quality standards.
- Operationalize deployments using containerized patterns and cloud services; implement monitoring/observability (performance, cost, drift, quality signals) and drive continuous improvement through incident learnings and release management.
- Advise on emerging GenAI models, frameworks, and toolkits; prototype and recommend options with explicit tradeoffs across value, delivery effort, risk, compliance, and total cost of ownership (TCO).
- Collaborate with cross-functional teams (product, engineering, data, risk, and stakeholders) to deliver adoption-ready solutions and documentation.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field (advanced degree a plus).
- 4+ years of experience in software engineering, full stack development, and/or AI/ML solution delivery.
- Python programming (production-grade) and strong SQL.
- Natural Language Processing (NLP) applied to GenAI solutions.
- Agentic AI design/implementation, including LangChain, LangGraph, and LlamaIndex.
- Hands-on experience with RAG architectures and implementation.
- Strong prompt engineering (design, iteration, and evaluation).
- Experience with vector databases (e.g., Pinecone, Chroma, FAISS or similar) and embedding-based retrieval.
- Experience with GenAI model build: training, fine-tuning, and validation; practical LLM evaluation using common metrics.
- Experience with model deployment (serving, monitoring, iteration) and production hardening.
- Experience with containers (e.g., Docker) and scalable runtime patterns.
- Experience building ETL pipelines and data engineering solutions (data quality, preprocessing, and curation).
- API development and integration (RESTful services); backend development using FastAPI (or equivalent).
- Full stack web development with JavaScript/TypeScript.
- Proficiency with HTML/CSS and preprocessors (SASS/LESS).
- Experience with front-end frameworks (React, Angular, or Vue).
- Working knowledge of UI/UX design principles (accessibility, usability, responsive design).
- Experience with cloud AI/ML services across Azure, AWS, and GCP, including Vertex AI.
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required.
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations.
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred:
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
- Familiarity with AI/GenAI ethics, governance, and responsible AI implementation practices.
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
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 $124,658 to $179,431.
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
Senior Consultant Job Roles in Maryland
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Search Senior Consultant Jobs in MarylandSenior Consultant Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for senior consultants in Maryland?
Booz Allen Hamilton, Deloitte, Leidos, SAIC, Accenture, and Northrop Grumman are among the employers in Maryland with documented histories of sponsoring work visas for senior consultants. Many of these firms operate large offices in Bethesda, Rockville, and the Baltimore area, supporting both federal government and commercial consulting engagements that regularly require international talent.
Which visa types are most common for senior consultant roles in Maryland?
The H-1B is the most common visa for senior consultants in Maryland, given that the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as business, engineering, or information technology. The L-1A and L-1B are also used when a candidate transfers from a related office abroad. Some firms with Australian hires use the E-3 visa.
Which cities in Maryland have the most senior consultant sponsorship jobs?
Bethesda and Rockville in Montgomery County account for a large share of senior consultant sponsorship activity, driven by the density of federal contractors and consulting firms headquartered there. Baltimore is another active market, particularly for management and healthcare consulting. Annapolis and Columbia also have employer presence, though volume is more limited compared to the DC-adjacent suburbs.
How to find senior consultant visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically by visa sponsorship eligibility, making it straightforward to identify senior consultant roles in Maryland where employers are actively open to sponsoring. Rather than manually screening hundreds of postings, you can search by role and state to surface positions from firms like Booz Allen Hamilton, Deloitte, and Leidos that have sponsorship histories in the consulting sector.
Are there state-specific considerations for senior consultants seeking visa sponsorship in Maryland?
Maryland's concentration of federal government contractors means many senior consultant roles involve security clearance requirements, which can complicate or limit sponsorship for certain visa categories. Employers in this space often have established immigration programs given the high volume of international hires. The state's proximity to Washington, D.C. also means some roles are technically headquartered across the border, so it is worth confirming the actual work location before applying.
What is the prevailing wage for sponsored senior consultant jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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