Senior Solution Architect We are seeking a highly experienced and innovative Senior Solution Architect to join our customer project. This will be a 3 month rolling contract, hybrid based with some travel to office in Berkshire.
In this position you will lead the design and delivery of AI and GenAI use cases across Networks and Customer Experience (CX) domains. This role sits at the intersection of strategy, architecture, and execution—playing a pivotal role in shaping the future of intelligent operations and digital engagement.
You will drive end-to-end solution ownership, from ideation and PoC to full-scale deployment, working closely with third-party suppliers, internal technology teams, and business stakeholders to deliver scalable, secure, and impactful solutions.
Design, architect, and lead end-to-end delivery of AI/GenAI use cases in networks and CX
Product Lifecycle Leadership: Own the full lifecycle of each use case, from initial discovery and PoC to MVP development, pilot rollout, and enterprise-wide implementation
Engage and manage relationships with external partners, vendors, and platform providers to co-develop AI-powered products and accelerators
Cross-Functional Collaboration: Work closely with IT, Big Data, Security & Privacy, Digital, and Business Unit teams to ensure integration, compliance, and delivery readiness
Technology Leadership: Evaluate and leverage modern AI/GenAI capabilities including LLMs, RAG pipelines, MLOps, and cloud-native tooling
Governance and Compliance: Ensure solutions adhere to enterprise governance, responsible AI principles, data protection regulations, and security best practices
Value Realization: Work with business stakeholders to define success criteria, monitor impact, and ensure measurable value is delivered at each stage of implementation
Proven experience in solution architecture, with a strong focus on AI/ML or GenAI or Geo-Int implementations across complex environments
Hands-on experience delivering AI/GenAI solutions in networks, telecommunications, or customer experience domains is strongly preferred
Deep understanding of architecture patterns for LLMs, NLP, MLOps, RAG, APIs, and real-time data integration
Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
AWS/GCP/Azure Certified Architect), AI/ML, or TOGAF are a plus