AI Solution Architect

Role Summary:

PwC is seeking an experienced AI Solution Architect to design cutting-edge Generative AI and Agentic AI solutions that enable clients to reimagine their businesses through intelligent automation, digital transformation, and data-driven decision-making.

This role emphasizes solution design and rapid prototyping creating architectural blueprints, proof-of-concepts, and reference models that shape how organizations adopt AI responsibly and at scale. While hands-on implementation may be part of select engagements, the focus is on translating business needs into AI-enabled architectures that are robust, ethical, and future-ready.

Key Responsibilities:

• Solution Design: Lead the design of end-to-end AI and GenAI architectures , including model selection, orchestration frameworks, data integration, and security patterns.
• Prototyping: Build and demonstrate proof-of-concept AI/GenAI prototypes using modern tools (e.g., OpenAI, LangChain, LlamaIndex, CrewAI, Anthropic, vector databases, ReactJS).
• Advisory: Partner with clients and delivery teams to define AI transformation strategies , roadmap development, and operating models aligned with PwCs Responsible AI framework. Look for opportunities to embed AI in digital platforms/solutions. Look at the broader picture for implementing AI in planned workflows as well as challenge the status-quo on existing solution structuring.
• Architecture Leadership: Develop reference architectures and reusable solution accelerators for LLM-based systems, agentic workflows, and multi-agent orchestration.
• Cross-functional Collaboration: Work with data, cloud, and industry experts to design AI solutions that integrate seamlessly into enterprise ecosystems.
• Innovation Enablement: Stay ahead of evolving AI technologies (agentic systems, autonomous reasoning, multimodal models) and bring thought leadership into client conversations.

Required Skills & Experience:

• 8+ years of experience in technology architecture, AI/ML systems, or enterprise solution design , ideally within consulting or large-scale digital transformation programs.
• Deep understanding of Generative AI models , LLM orchestration , and agentic AI frameworks .
• Hands-on familiarity with cloud-native architectures (AWS, Azure, GCP) and modern AI development tools.
• Experience with Python , APIs , prompt engineering , RAG (Retrieval-Augmented Generation) , and vector search systems .
• Strong ability to bridge business and technology , creating value-driven, scalable AI solutions.
• Excellent stakeholder management, communication, and presentation skillscomfortable working with executive and technical audiences.

Preferred Qualifications:

• Prior experience designing or piloting autonomous or agent-based AI systems .
• Knowledge of AI governance , model risk , and responsible AI practices .
• Certifications in cloud architecture , AI/ML , or data engineering .
• Consulting experience in AI strategy, architecture design, or digital transformation.