PwC Logo

PwC

Advisory National CT&I - AI Engineer - Senior Manager

Posted 20 Hours Ago
Be an Early Applicant
Hybrid
5 Locations
124K-280K Annually
Senior level
Hybrid
5 Locations
124K-280K Annually
Senior level
Lead the design and deployment of ML and LLM models, overseeing cloud-native microservices and mentoring team members. Drive engineering excellence and innovation within the Data and Analytics Engineering team at PwC.
The summary above was generated by AI
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
  • Craft and convey clear, impactful and engaging messages that tell a holistic story.
  • Apply systems thinking to identify underlying problems and/or opportunities.
  • Validate outcomes with clients, share alternative perspectives, and act on client feedback.
  • Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
  • Deepen and evolve your expertise with a focus on staying relevant.
  • Initiate open and honest coaching conversations at all levels.
  • Make difficult decisions and take action to resolve issues hindering team effectiveness.
  • Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity
As part of the Data and Analytics Engineering team you will lead the design, training, and deployment of innovative ML and LLM models in production environments. As a Senior Manager, you will drive engineering excellence through hands-on knowledge, maintaining the reliability and maintainability of scalable AI solutions while overseeing the development of cloud-native microservices. This role offers a unique chance to shape the future of AI at PwC, leveraging advanced technologies to deliver impactful results.
Responsibilities
- Oversee the development of cloud-native microservices and CI/CD pipelines
- Shape the future of AI by leveraging advanced technologies
- Foster a culture of continuous improvement and innovation
- Mentor and develop team members to enhance their skills
What You Must Have
- Bachelor's Degree
- At least 8 years of experience in AI/ML engineering, software development, or similar technical leadership roles
What Sets You Apart
- Master's Degree in Computer Science, Artificial Intelligence and Robotics, Software Engineering preferred
- Demonstrating in-depth abilities in client needs assessment
- Excelling in Python and ML frameworks
- Managing cloud platforms like AWS, GCP, Azure
- Utilizing analytical techniques including machine learning and optimization
- Skilled in vectorization and prompt engineering
- Designing AI architectures with enterprise application integrations
- Championing governance and Responsible AI practices
- Mentoring junior engineers and fostering collaboration
Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Top Skills

AWS
Azure
GCP
Ml Frameworks
Python

PwC Denver, Colorado, USA Office

1900 Sixteenth Street, Denver, CO, United States, 80202

Similar Jobs at PwC

20 Hours Ago
Hybrid
68 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
This role involves leading teams to design and develop large-scale distributed data processing systems using various modern programming languages and frameworks, while mentoring junior staff and ensuring project success and high standards.
Top Skills: DockerEvent Driven DesignGrafanaJavaJavaScriptKnativeKubernetesMicroservicesPrometheusPythonRest ApiScalaSplunkSpring BootSpring Cloud
20 Hours Ago
Hybrid
68 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.
Top Skills: AWSAzureDockerGCPGrafanaJavaJavaScriptKnativeKubernetesPrometheusPythonScalaSpring BootSpring Cloud
20 Hours Ago
Hybrid
68 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead and mentor software engineering teams while designing large-scale distributed systems, driving digital transformation, and ensuring project success at PwC.
Top Skills: AWSAzureDockerGCPGrafanaJavaJavaScriptKubernetesMicroservicesPrometheusPythonRest ApiScalaSplunkSpring BootSpring Cloud

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account