AI Engineer Jobs at Deloitte with Visa Sponsorship
AI Engineer jobs at Deloitte span its consulting and technology practices, focusing on enterprise AI deployments, machine learning infrastructure, and client-facing data solutions. The firm has a consistent track record of sponsoring work visas for this function, covering multiple nonimmigrant and immigrant pathways for qualified candidates.
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Get Access To All JobsApplied AI Product Manager - Financial Services/Audit
Preferred Locations: Hermitage, Tampa
Other locations: New York, Dallas, Jersey City, Morristown
An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop—automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.
The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement—amplified by the fluent, responsible use of AI to learn faster and earn faster.
Work you'll do
Product Accountability
- Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
- Drive strategy-aligned solutions to achieve product value objectives.
- Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
- Measure KPIs and analyze outcomes to inform future strategies.
- Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
Vision and Strategy
- Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
- Align product objectives with the product line and business goals.
- Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
- Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale.
Market and User Engagement
- Conduct user research and competitive analysis, using AI agents to synthesize research at speed—accelerating the data crunching, ensuring the human connection.
- Engage the team with users and stakeholders through continuous research and direct interactions.
- Collaborate and guide the team toward solutions that address priority user and business needs.
- Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
- Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
Collaboration and Teamwork
- Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
- Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
- Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools.
Continuous Improvement
- Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
- Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
- Remove obstacles for the team and ensure smooth flow of continuous value achievement.
- Spread knowledge and best practices within the product vertical community.
Applied AI Ways of Working
- Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios—charting new pathways for the business.
- Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog—compressing lead time by accelerating the data crunching, ensuring the human connection.
- Amplify focus: act as Editor-in-Chief—using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
- Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.
The successful candidate will possess:
- 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 mentor and provide clear guidance to others
The team
Deloitte Product Engineering (PxE) is developing advanced, agentic AI-enabled solutions that are redefining the future of work across our organization and for global clients. We are committed to bringing together outstanding product, engineering, and design talent to lead this transformation.
Qualifications
Required:
- Bachelor's degree in business, Marketing, Engineering, or a related field.
- 6+ years of proven experience in lean product management or related roles including product concepts and opportunities into measurable, value-based features, user stories/Intents with clear acceptance criteria.
- 3+ years enterprise scale experience across multiple business areas.
- 1+ years of building AI based intelligent products.
- 1+ years experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing.
- 1+ year experience in a financial services or audit firm.
- 1+ year of hands-on experience with a major cloud platform (Azure, AWS, or GCP), including working proficiency in observability tools (Application Insights, CloudWatch, Datadog, Splunk, or similar) to debug issues from logs and metrics, and the ability to write basic log queries (KQL, SQL, or similar). Experience working with Product Delivery tools like Azure DevOps (ADO), Jira etc.
- Limited immigration sponsorship may be available.
- Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Ability to work in your local office at a minimum of 3 days per week.
- Candidates must be located within a commutable distance to one of the select location available for this role.
Preferred:
- MBA or related advanced degree.
- Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time. Significant experience in lean product management craft and domain (tools, methods, and practices). Seen as a leader in this space.
- Proven accountability for value, viability and P&L objectives for a product and for an empowered product team.
- Customer-Centricity: Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions that customers love and that work for the business. Expertise in applying customer-centric methods and practices.
- Strategic Thinking: Ability to develop and execute a strategic vision for the product, aligning it with broader business objectives.
- Exceptional analytical and problem-solving skills.
- Learning-forward, experimental, and value-oriented mindset.
- Ability to navigate complexity and uncertainty.
- AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance), with guardrails at each hand-off—assumptions, confidence levels, and links to sources of truth.
- AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after, with a kill-switch mentality—and knows when not to use AI.
- Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex Cursor, and Visual Studio Code.
Wage disclosure
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 $232,300.
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.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
EA_ExpHire; EA_ITS_ExpHire; PXE_JOBS
Applied AI Product Manager - Financial Services/Audit
Preferred Locations: Hermitage, Tampa
Other locations: New York, Dallas, Jersey City, Morristown
An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The Applied AI Product Manager harnesses AI and agentic tools to compress the concept-to-cash learning loop—automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.
The Applied AI Product Manager plays a crucial role in ensuring the success of our high value, moderately complex products by balancing customer needs with business objectives. This role requires a blend of strategic vision, analytical skills, and collaborative teamwork to deliver valuable, viable, usable, and feasible solutions. It demands significant experience in the modern product management craft and a drive for continuous improvement—amplified by the fluent, responsible use of AI to learn faster and earn faster.
Work you'll do
Product Accountability
- Responsible and accountable for the product's value and viability showcasing a measurable Return on Investments (ROI)
- Drive strategy-aligned solutions to achieve product value objectives.
- Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve.
- Measure KPIs and analyze outcomes to inform future strategies.
- Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
Vision and Strategy
- Co-create, own, and evangelize the product vision, strategy, and roadmap, using AI to deepen domain knowledge and simulate future scenarios to chart pathways others have not yet seen.
- Align product objectives with the product line and business goals.
- Co-create in collaboration with business stakeholders, engineering, experience, and delivery.
- Use AI to expedite research, gather evidence, bolster domain knowledge, and craft and innovative visions backed by compelling strategic rationale.
Market and User Engagement
- Conduct user research and competitive analysis, using AI agents to synthesize research at speed—accelerating the data crunching, ensuring the human connection.
- Engage the team with users and stakeholders through continuous research and direct interactions.
- Collaborate and guide the team toward solutions that address priority user and business needs.
- Apply analytical skills to analyze data and derive actionable insights, shifting from waiting on analysis to working on insights.
- Adopt innovative and experimental approaches to solving complex problems, including AI-built, disposable prototypes that validate solutions quickly and retire bad ideas just as fast.
Collaboration and Teamwork
- Work side-by-side with cross-functional (business, engineering, experience, and delivery) team members to achieve KPI outcomes.
- Promote a product operating model that emphasizes outcomes over output (minimize overproduction while maximizing value).
- Build empowered teams and product communities who exhibit collective product ownership and level-up their outcome potential through AI and agentic tools.
Continuous Improvement
- Promote and drive rapid, emergent, and ongoing learning and adaptation to meet objectives.
- Drive innovation and improvement of the process to drive out waste and accelerate value achievement, using AI as a force-multiplier to offload the repetitive, speed up the sluggish, and automate the mundane.
- Remove obstacles for the team and ensure smooth flow of continuous value achievement.
- Spread knowledge and best practices within the product vertical community.
Applied AI Ways of Working
- Amplify innovation: use AI to rapidly deepen domain knowledge, surface untapped market and user potential, and simulate future scenarios—charting new pathways for the business.
- Amplify learning: use AI agents to synthesize research and validate ideas before they enter the backlog—compressing lead time by accelerating the data crunching, ensuring the human connection.
- Amplify focus: act as Editor-in-Chief—using AI to rigorously test assumptions and retire ideas that do not genuinely serve the user's workflow in a way that works for the business.
- Amplify experimentation: use AI to build early, functional, disposable prototypes that validate the architecture and the solution, playing a key role in the Agentic Secure Software Development Life Cycle that paves a clear path to productionize early and often.
The successful candidate will possess:
- 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 mentor and provide clear guidance to others
The team
Deloitte Product Engineering (PxE) is developing advanced, agentic AI-enabled solutions that are redefining the future of work across our organization and for global clients. We are committed to bringing together outstanding product, engineering, and design talent to lead this transformation.
Qualifications
Required:
- Bachelor's degree in business, Marketing, Engineering, or a related field.
- 6+ years of proven experience in lean product management or related roles including product concepts and opportunities into measurable, value-based features, user stories/Intents with clear acceptance criteria.
- 3+ years enterprise scale experience across multiple business areas.
- 1+ years of building AI based intelligent products.
- 1+ years experience in using GenAI tools to perform product management tasks like conduct idea research, shaping, synthesis, roadmaps, requirements, prototyping, testing.
- 1+ year experience in a financial services or audit firm.
- 1+ year of hands-on experience with a major cloud platform (Azure, AWS, or GCP), including working proficiency in observability tools (Application Insights, CloudWatch, Datadog, Splunk, or similar) to debug issues from logs and metrics, and the ability to write basic log queries (KQL, SQL, or similar). Experience working with Product Delivery tools like Azure DevOps (ADO), Jira etc.
- Limited immigration sponsorship may be available.
- Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve.
- Ability to work in your local office at a minimum of 3 days per week.
- Candidates must be located within a commutable distance to one of the select location available for this role.
Preferred:
- MBA or related advanced degree.
- Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time. Significant experience in lean product management craft and domain (tools, methods, and practices). Seen as a leader in this space.
- Proven accountability for value, viability and P&L objectives for a product and for an empowered product team.
- Customer-Centricity: Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions that customers love and that work for the business. Expertise in applying customer-centric methods and practices.
- Strategic Thinking: Ability to develop and execute a strategic vision for the product, aligning it with broader business objectives.
- Exceptional analytical and problem-solving skills.
- Learning-forward, experimental, and value-oriented mindset.
- Ability to navigate complexity and uncertainty.
- AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance), with guardrails at each hand-off—assumptions, confidence levels, and links to sources of truth.
- AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after, with a kill-switch mentality—and knows when not to use AI.
- Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex Cursor, and Visual Studio Code.
Wage disclosure
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 $232,300.
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.
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
EA_ExpHire; EA_ITS_ExpHire; PXE_JOBS
See all AI Engineer Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer Jobs at Deloitte.
Get Access To All JobsTips for Finding AI Engineer Jobs at Deloitte
Align your credentials to Deloitte's specialty occupation standard
Deloitte's AI Engineer roles typically require a degree in computer science, data science, or a closely related field. Make sure your transcripts and any credential evaluations clearly map your academic background to the role before you apply.
Target Deloitte's AI and analytics practice areas directly
Deloitte's AI Engineer openings sit across several practices, including AI and Data, Government and Public Services, and Technology Consulting. Filtering by practice area surfaces roles most likely to have dedicated sponsorship budgets and established visa workflows.
Understand how Deloitte structures the H-1B filing timeline
For H-1B cap-subject filings, Deloitte typically submits registrations in March for an October start. If you're on OPT, confirm your STEM extension eligibility early so your work authorization bridges the gap without a gap in employment.
Ask explicitly about E-3 and H-1B1 eligibility during offers
Australian and Singaporean nationals can often bypass the H-1B lottery entirely through the E-3 or H-1B1 visa pathways. Deloitte sponsors both, so raise your nationality and visa type preference during the offer stage before the firm assumes H-1B.
Browse open AI Engineer roles using Migrate Mate
Deloitte posts AI Engineer openings across multiple portals and practice sub-sites, making it easy to miss relevant listings. Use Migrate Mate to filter Deloitte's verified sponsoring roles by visa type and location in one place.
Prepare for PERM documentation if you pursue a Green Card
Deloitte initiates PERM labor certification for EB-2 and EB-3 sponsorship, which requires DOL to verify no qualified U.S. workers were displaced. Start the conversation with your recruiter early, as PERM timelines at large consulting firms can run 12 to 18 months before the I-140 stage.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for AI Engineers?
Yes, Deloitte sponsors H-1B visas for AI Engineer roles and has done so consistently across its consulting and technology practices. For cap-subject candidates, the firm participates in the annual USCIS lottery with registrations submitted each March. If you're already in H-1B status with another employer, Deloitte can also file an H-1B transfer without waiting for the next lottery cycle.
Which visa types does Deloitte commonly sponsor for AI Engineer roles?
Deloitte sponsors H-1B, H-1B1 visa, and E-3 visas for nonimmigrant work authorization, covering candidates from most countries as well as Singapore and Australia specifically. For permanent residence, Deloitte supports EB-2 and EB-3 Green Card pathways through PERM labor certification. The visa type offered typically depends on your nationality, current immigration status, and the specific practice area you're joining.
What qualifications and experience does Deloitte expect for AI Engineer positions?
Deloitte's AI Engineer roles generally require a bachelor's or master's degree in computer science, machine learning, data science, or a related technical field. Hands-on experience with machine learning frameworks such as TensorFlow or PyTorch, cloud platforms like AWS or Azure, and production deployment of models is expected. Consulting-specific experience or client-facing project work is a differentiator at the senior level.
How do I apply for AI Engineer jobs at Deloitte?
You can apply through Deloitte's careers portal, but roles are spread across practice areas and geographies, which makes it easy to miss relevant listings. Migrate Mate aggregates Deloitte's verified visa-sponsoring AI Engineer openings so you can filter by visa type and location without manually checking multiple sub-sites. Once you identify a role, apply directly and confirm sponsorship availability with the recruiter early in the process.
How do I plan my timeline if I need Deloitte to sponsor my H-1B?
If you're subject to the H-1B cap, USCIS opens registration each March and selections are announced by late March or April. A cap-subject H-1B can begin employment October 1 at the earliest. If you're on F-1 OPT or a STEM extension, time your job search so your offer is in place before your current authorization expires, leaving enough runway for Deloitte's legal team to prepare the petition.