At a Glance
- Tasks: Shape AI solutions and define scalable architectures for diverse client needs.
- Company: Join a leading consultancy known for innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to influence and innovate across various industries.
- Why this job: Make an impact in the AI landscape while collaborating with top industry experts.
- Qualifications: Certifications in Cloud, Data, and AI; experience in enterprise architecture and consulting.
The predicted salary is between 70000 - 90000 Β£ per year.
Responsibilities
- Recommend and shape AI and Agentic solutions, defining scalable architectures aligned to client needs and PwC standards.
- Act as a technical advisor on complex, multi-region engagements, supporting pre-sales activity and large-scale transformation programmes.
- Collaborate with alliance partners, product and engineering teams, and internal stakeholders to co-create and position solutions.
- Build and maintain strong technical relationships across clients, alliances and PwC teams, supporting joint go-to-market initiatives.
- Drive delivery assurance, technical governance and knowledge sharing, contributing to innovation, best practice and team objectives.
Requirements
- Relevant certifications in Cloud, Data and AI (e.g. Solutions Architect, Machine Learning, Generative or Agentic AI) from leading providers such as AWS, Microsoft, Google Cloud, Palantir, OpenAI or Anthropic.
- Strong experience in enterprise architecture, technical pre-sales or technology consulting.
- Proven track record of delivering large-scale AI and cloud solutions.
- Deep expertise across the AI ecosystem, including LLMs, agentic frameworks, orchestration platforms, RAG and AI governance.
- Solid understanding of modern architectures, including cloud-native platforms, data ecosystems and enterprise integration patterns.
- Ability to translate complex business challenges into scalable technical solutions and clearly articulate value to both technical and executive stakeholders.
- Ability to build trusted relationships and influence senior stakeholders while supporting business development, solution shaping and technical sales cycles.
- Adaptability across industries and regions, contributing to technical strategy, innovation and thought leadership in a rapidly evolving AI landscape.
We think you need these skills to ace AI Solutions Architect β Agentic
Cloud Certifications
Data and AI Expertise
Solutions Architecture
Machine Learning
Generative AI
Agentic AI
Enterprise Architecture