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Software Engineering Director - Ignition

at KPMG

Back to all Data Science / AI / ML jobs
KPMG logo
Big Four

Software Engineering Director - Ignition

at KPMG

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

No clicks

Compensation
Not specified USD

Currency: $ (USD)

City
Not specified
Country
United States

KPMG is seeking an Engineering Director to join the Tax Ignition Team, leading multi-year, large-scale programs spanning cloud services, microservices, front-end frameworks, and AI/ML integrations. The role serves as the main liaison between business stakeholders, enterprise architects, security/risk officers, and product leadership to align priorities, scope, and budgets, while owning end-to-end program delivery. You will guide design reviews, enforce best practices (infrastructure as code, containerization, API standards), and validate POCs for new technologies such as LLM fine-tuning and prompt-based workflows. The position includes hiring, mentoring, and growing a high-performing engineering team in a regulated environment with a focus on security-by-design and compliance.

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.


KPMG is currently seeking an Engineering Director to join our Tax Ignition Team. This is a hybrid work opportunity.

Responsibilities:

  • Define roadmaps and technical strategies for multi‑year, large‑scale programs that span cloud services, microservices, front‑end frameworks and Artificial Intelligence (AI)/ Machine Learning (ML) integrations
  • Act as the main liaison between business stakeholders, enterprise architects, security/risk officers and product leadership to align priorities, scope and budgets
  • Own end‑to‑end program delivery; guide design reviews, enforce best practices (infrastructure as code, containerization, API standards), and validate POCs for new technologies (LLM fine‑tuning, prompt‑based workflows, and more)
  • Hire, mentor and grow a high‑performing team of engineers (full‑stack, data science, DevOps; create clear career paths, and foster a culture of continuous learning
  • Work in a highly regulated environment with security testing and risk teams to bake in security‑by‑design threat modeling, automated security scans, pen‑testing cycles and regulatory compliance
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
  • Qualifications:

  • Minimum ten years of recent experience in software engineering; minimum five years of recent experience in a leadership role; proven track record running large, complex enterprise programs on Azure (App Services, Functions,  Azure Kubernetes Service, SQL Database)
  • Bachelor's degree from an accredited college or university in computer science, engineering or related field is preferred; Master's degree from an accredited college or university is desired
  • Deep practical experience and background in Python, .NET Framework/Core, C#, PowerShell, Angular, TypeScript, LLM fine‑tuning (Azure OpenAI or open‑source), data pipelines, model deployment, DevOps/CI‑CD (Azure DevOps, GitHub Actions), infrastructure as code (ARM, Bicep)
  • Exceptional communicating skills, demonstrated ability and comfort in presenting to C‑suite and translating business needs into technical solutions; possess a entrepreneurial mindset such as being proactive, data‑driven, and thrives in ambiguity
  • Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization; Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred
  • Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit‑learn) is preferred with excellent analytical skills
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

  • KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

    Follow this link to obtain salary ranges by city outside of CA: 

    https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6666_9_25

    KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

    KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

    Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Software Engineering Director - Ignition

    at KPMG

    Back to all Data Science / AI / ML jobs
    KPMG logo
    Big Four

    Software Engineering Director - Ignition

    at KPMG

    Tech LeadNo visa sponsorshipData Science/AI/ML

    Posted 6 days ago

    No clicks

    Compensation
    Not specified USD

    Currency: $ (USD)

    City
    Not specified
    Country
    United States

    KPMG is seeking an Engineering Director to join the Tax Ignition Team, leading multi-year, large-scale programs spanning cloud services, microservices, front-end frameworks, and AI/ML integrations. The role serves as the main liaison between business stakeholders, enterprise architects, security/risk officers, and product leadership to align priorities, scope, and budgets, while owning end-to-end program delivery. You will guide design reviews, enforce best practices (infrastructure as code, containerization, API standards), and validate POCs for new technologies such as LLM fine-tuning and prompt-based workflows. The position includes hiring, mentoring, and growing a high-performing engineering team in a regulated environment with a focus on security-by-design and compliance.

    Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.


    KPMG is currently seeking an Engineering Director to join our Tax Ignition Team. This is a hybrid work opportunity.

    Responsibilities:

  • Define roadmaps and technical strategies for multi‑year, large‑scale programs that span cloud services, microservices, front‑end frameworks and Artificial Intelligence (AI)/ Machine Learning (ML) integrations
  • Act as the main liaison between business stakeholders, enterprise architects, security/risk officers and product leadership to align priorities, scope and budgets
  • Own end‑to‑end program delivery; guide design reviews, enforce best practices (infrastructure as code, containerization, API standards), and validate POCs for new technologies (LLM fine‑tuning, prompt‑based workflows, and more)
  • Hire, mentor and grow a high‑performing team of engineers (full‑stack, data science, DevOps; create clear career paths, and foster a culture of continuous learning
  • Work in a highly regulated environment with security testing and risk teams to bake in security‑by‑design threat modeling, automated security scans, pen‑testing cycles and regulatory compliance
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
  • Qualifications:

  • Minimum ten years of recent experience in software engineering; minimum five years of recent experience in a leadership role; proven track record running large, complex enterprise programs on Azure (App Services, Functions,  Azure Kubernetes Service, SQL Database)
  • Bachelor's degree from an accredited college or university in computer science, engineering or related field is preferred; Master's degree from an accredited college or university is desired
  • Deep practical experience and background in Python, .NET Framework/Core, C#, PowerShell, Angular, TypeScript, LLM fine‑tuning (Azure OpenAI or open‑source), data pipelines, model deployment, DevOps/CI‑CD (Azure DevOps, GitHub Actions), infrastructure as code (ARM, Bicep)
  • Exceptional communicating skills, demonstrated ability and comfort in presenting to C‑suite and translating business needs into technical solutions; possess a entrepreneurial mindset such as being proactive, data‑driven, and thrives in ambiguity
  • Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization; Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred
  • Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit‑learn) is preferred with excellent analytical skills
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

  • KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.

    Follow this link to obtain salary ranges by city outside of CA: 

    https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6666_9_25

    KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

    KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

    Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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