CTIO AI Engineering Manager
PwC · Dallas, TX
- On site
- Full-time
- $150,000 / year
- Dallas, TX
Job highlights
- Lead AI engineering teams and client engagements.
- Develop and deploy machine learning models.
- Manage projects and client deliverables.
- Mentor junior staff and foster innovation.
- Utilize advanced analytics and cloud technologies.
About the role
About the Role
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.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Skills and Experience
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold 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 manage client relationships and confirm project deliverables meet expectations. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff while upholding remarkable standards of quality and innovation in deliverables.
Responsibilities
- Work with cross-functional teams to incorporate AI into various applications
- Drive initiatives that enhance project outcomes through creative strategies
- Identify and utilize opportunities for advancements in technology
- Inspire and motivate team members to excel in their contributions
- Uphold exceptional standards of quality and innovation in deliverables
- Foster an environment that encourages continuous improvement and learning
What You Must Have
- Bachelor's Degree
- 5 years of experience in AI engineering or related field
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Designing, training, and deploying machine learning models
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Managing CI/CD pipelines for AI systems using GitHub Actions
- Implementing vector databases and orchestration tools like LangChain
- Translating complex business problems into software-engineered AI solutions
- Deploying on cloud platforms like AWS, GCP, Azure
- Contributing to open-source projects or AI/ML publication
Compensation and Benefits
The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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
Equal Opportunity Employer
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.
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.
Learn more about how we work: https://pwc.to/how-we-work
Fair Chance Ordinance
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.
Application Deadline
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
Key skills/competency
- AI Engineering Manager
- Data and Analytics Engineering
- Machine Learning
- Predictive Models
- Statistical Analysis
- Data Visualisation
- Cloud Platforms (AWS, GCP, Azure)
- Docker and Kubernetes
- CI/CD Pipelines
- Team Leadership and Mentoring
Skills & topics
- AI Engineering Manager
- Data Engineering
- Machine Learning
- Cloud Computing
- Leadership
- Project Management
- Client Relationship Management
- Software Development
- Artificial Intelligence
- PwC
How to get hired
- Tailor your resume: Highlight your AI engineering experience and leadership skills relevant to PwC's needs.
- Craft a compelling cover letter: Express your passion for AI and how you align with PwC's values.
- Prepare for technical interviews: Brush up on machine learning, cloud platforms, and system design.
- Showcase leadership potential: Be ready to discuss your experience in managing teams and client relationships.
- Understand PwC's culture: Research their commitment to innovation, integrity, and client success.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of an AI Engineering Manager at PwC?
- As an AI Engineering Manager at PwC, you will be responsible for leading teams, managing client relationships, developing and deploying machine learning models, incorporating AI into applications, and upholding high standards of quality and innovation in project deliverables.
- What educational background is preferred for this AI Engineering Manager role?
- While a Bachelor's Degree is required, a Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer Science, Software Engineering, Artificial Intelligence and Robotics is preferred for this AI Engineering Manager position at PwC.
- What technical skills are crucial for an AI Engineering Manager at PwC?
- Key technical skills include designing, training, and deploying machine learning models, developing scalable microservices with Docker and Kubernetes, managing CI/CD pipelines, implementing vector databases, and deploying on cloud platforms like AWS, GCP, or Azure.
- Does PwC offer sponsorship for the H-1B lottery for this AI Engineering Manager position?
- PwC does not intend to hire job seekers who will require H-1B lottery sponsorship, except as set forth in their specific policy regarding H-1B lottery sponsorship.
- What is the salary range for the AI Engineering Manager position at PwC?
- The salary range for this AI Engineering Manager position at PwC is $73,500 - $212,280. For residents of Washington state, the range is $73,500 - $244,000, with actual compensation dependent on skills, experience, qualifications, and location.
- How does PwC approach diversity and inclusion for the AI Engineering Manager role?
- PwC is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, national origin, sex, age, disability, or other protected statuses. They are committed to a diverse and inclusive workplace.
- What are the growth opportunities for an AI Engineering Manager at PwC?
- As an AI Engineering Manager, you will have opportunities to develop your leadership style, mentor junior staff, identify business opportunities, and embrace technology and innovation to enhance delivery, contributing to the success of the Firm.
- What is PwC's policy regarding arrest or conviction records for this role?