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 in programming languages like Python, and C#. 

• 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.