Software Engineer AI Jobs at Deloitte with Visa Sponsorship
Software Engineer AI jobs at Deloitte span consulting and technology practices, placing professionals on client engagements that involve AI strategy, model development, and enterprise implementation. The firm has a well-established infrastructure for sponsoring work visas, including H-1B visa, E-3 visa, and Green Card pathways, making it a realistic target for international candidates in this field.
Find Software Engineer AI Jobs at DeloitteOverview
Showing 5 of 30+ Software Engineer AI Jobs at Deloitte
See all 30+ Software Engineer AI Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI Jobs at Deloitte.
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 30+ Software Engineer AI Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer AI Jobs at Deloitte.
Get Access To All JobsTips for Finding Software Engineer AI Jobs at Deloitte
Align your portfolio to client-facing AI work
Deloitte's AI engineering roles are consulting-adjacent, so interviewers expect project examples with measurable business impact. Frame your experience around deploying models in production environments, not just building them in research settings.
Target practice areas with active AI buildouts
Deloitte's Government and Public Services, Financial Advisory, and Technology practices are where most AI engineering headcount sits. Applying directly to roles within those practices improves your odds versus applying to generic technology openings.
Clarify sponsorship eligibility before the final interview round
Deloitte sponsors multiple visa categories, but eligibility depends on your nationality and current status. Raise your sponsorship needs with the recruiter after receiving a strong verbal signal of interest, not at the initial screening stage.
Understand how the H-1B cap affects your start date
If you need a new H-1B, USCIS only accepts cap-subject petitions in April for an October 1 start. Factor this into offer negotiations with Deloitte, since your actual start date may be six or more months after signing.
Verify your degree maps to a specialty occupation
USCIS scrutinizes H-1B petitions where the degree field and job title aren't an obvious match. A computer science or software engineering degree supports an AI engineering role cleanly. A degree in an unrelated field requires a stronger case built around coursework and experience.
Use Migrate Mate to find open AI engineering roles at Deloitte
Sponsor-verified job listings at large firms can be hard to track across multiple job boards. Use Migrate Mate to browse Software Engineer AI openings at Deloitte that are confirmed to offer visa sponsorship, so you're not guessing from the job description alone.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Software Engineer AIs?
Yes, Deloitte sponsors H-1B visas for Software Engineer AI roles and is one of the more active sponsors in the consulting and professional services sector. Sponsorship is handled through Deloitte's internal immigration team, which works alongside external counsel. Your eligibility depends on your current visa status, nationality, and whether you need a new cap-subject petition or a transfer from an existing H-1B.
How do I apply for Software Engineer AI jobs at Deloitte?
You can apply through Deloitte's careers portal or find verified sponsorship-eligible openings through Migrate Mate. Deloitte's AI engineering roles typically require a technical screening, followed by multiple interview rounds covering system design, applied ML concepts, and consulting-style problem framing. Tailoring your application to a specific practice area, such as Government and Public Services or Financial Advisory, tends to yield better results than applying broadly.
Which visa types does Deloitte commonly sponsor for Software Engineer AI roles?
Deloitte sponsors H-1B visas for most international candidates, along with the H-1B1 visa for nationals of Singapore and Chile, and the E-3 for Australian citizens. For candidates pursuing permanent residence, Deloitte supports EB-2 and EB-3 Green Card pathways, which involve PERM labor certification filed through DOL. The right visa type depends on your nationality and how long you've been with the firm.
What qualifications does Deloitte expect for Software Engineer AI positions?
Most Software Engineer AI roles at Deloitte require a bachelor's degree in computer science, software engineering, or a closely related field, and many senior roles expect a master's degree or equivalent experience. Hands-on experience with large language models, MLOps pipelines, and cloud platforms like AWS or Azure is commonly listed. Consulting experience or the ability to communicate technical findings to non-technical stakeholders is a real differentiator at Deloitte compared to product company equivalents.
How long does the visa sponsorship process typically take at Deloitte?
If you're transferring an existing H-1B, Deloitte can file a portability petition and your start date can be as soon as the receipt notice is issued. If you need a new cap-subject H-1B, USCIS registration opens in March and work authorization begins October 1 at the earliest. Premium processing, which expedites USCIS adjudication to around 15 business days, is available and commonly used for time-sensitive starts.