AI Engineer - Manager

Key Responsibilities

• Design and develop robust technical architectures for ML and AI solutions.

• Choose and implement optimal tools and technologies for each project.

• Develop and operationalize AI models and algorithms, ensuring scalability and reliability.

• Plan integration strategies for new solutions into existing client ecosystems.

• Translate stakeholder and business analyst suggestions into actionable technical plans, elaborating project vision.

• Collaborate closely with security and risk leaders to identify, address, and mitigate potential risks.

• Work alongside data scientists and AI professionals to support digital transformation initiatives.

• Stay up to date with emerging technologies and solutions to continuously add value for clients.

• Provide expert guidance to clients on business requirements and industry best practices.

• Deliver presentations and communicate complex technical concepts clearly to diverse audiences.

Requirements

• Bachelor’s degree in Computer Science or a related field (Master’s degree preferred in Computer Science, Data Science, or AI-related discipline).

• Minimum 8+ years of experience in Applied AI Solution Architecture.

• Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch.

• Expertise inprogramming languages likePython,andC#.

• Familiarity with cloud platforms such as Azure(primary), AWS, and Google Cloud.

• Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing/ETL tools.

• Strong problem-solving and communication skills.

• Ability to work independently and as part of a collaborative team.

• Proven track record of implementing machine learning solutions and statistical analysis.

• Demonstrated ability to handle customer queries and provide timely solutions.

Preferred Qualifications

• Master’s degree in relevant field.

• Experience in development using multiple programming languages.

• Knowledge of practical machine learning applications and a range of related approaches.

Core Competencies

• Whole Leadership: Lead yourself and others to create a positive impact responsibly, authentically, and passionately.

• Global Acumen: Collaborate with a mindset that embraces diverse perspectives and transcends boundaries.

• Technical and Digital: Focus on rapidly evolving technologies and their application in digital transformation.

• Business Acumen: Apply business knowledge and innovation to deliver distinctive value for clients and PwC.

• Relationships: Build genuine and meaningful high-value relationships.

Required Skills

• Active Listening

• Analytical Thinking

• Business Analysis & Strategy

• Business Process Consulting & Improvement

• Business Transformation

• Coaching and Feedback

• Communication

• Competitive Analysis & Advantage

• Conducting Research

• Consumer Behavior

• Creativity

• Customer Experience (CX) Strategy

• Customer Insight & Strategy

• Data Analytics

• Embracing Change

• Emotional Regulation

• Empathy

• Go-to-Market Strategies

Optional Skills

• Additional technical certifications

• Knowledge of emerging AI trends

If you are passionate about leveraging advanced analytics and AI to deliver innovative solutions and exceed client expectations, we encourage you to apply and become a valued member of our team.