4 months ago
London, United KingdomSenior
Responsibilities
- Serve as a trusted technical advisor and lead architecture reviews, technical presentations, and proof-of-concept efforts.
- Partner with sales and business development to qualify opportunities, respond to RFPs/RFIs, scope and estimate engagements, and shape proposals and statements of work.
- Design and facilitate client workshops covering discovery, use-case ideation, AI readiness, solution design, and enablement.
- Design end-to-end AI solutions involving generative AI, NLP, computer vision, multimodal applications, data pipelines, deployment frameworks, and system integrations.
- Architect secure AI and data platforms for real-time inference, batch processing, and scalable enterprise workloads across hybrid-cloud and multi-cloud environments.
- Incorporate data privacy, responsible AI, governance, observability, and security controls into solution architectures.
- Define AI development and operations standards, contribute to strategic roadmaps, mentor technical teams, and share AI knowledge internally and externally.
- Evaluate emerging AI tools, frameworks, and methodologies and recommend production-ready solutions.
- Collaborate with data scientists, software engineers, product managers, and business leaders to define requirements and deliver client value.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- Master's or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline.
- 7–10 years of experience in solution architecture, software engineering, or related technical roles, including 4–5 years focused on AI/ML.
- Proven experience designing and deploying production AI solutions involving generative AI, NLP, and computer vision.
- Strong understanding of the AI solution lifecycle from business case and requirements gathering through deployment and monitoring.
- Demonstrable client-facing consulting experience, including pre-sales support, scoping, estimation, proposals, demos, or proof-of-concepts.
- Experience designing and facilitating workshops for mixed technical and non-technical audiences.
- Strong communication, stakeholder influence, and commercial awareness of engagement economics.
- Experience in global delivery teams or consulting/professional-services environments.
- Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate.
Tech Stack
Categories
Solutions Engineering
About 10Pearls
10Pearls is a privately held digital engineering and AI consultancy that designs, builds, and modernizes software products for enterprises, mid-market companies, and startups. The company provides end-to-end services—product management, UX, cloud development, data/AI, cybersecurity, DevOps, and quality engineering—with global delivery centers across North America, Latin America, the UK, and South Asia. Headquartered in Vienna, Virginia, its clients have included brands such as AARP, Capital One, PayPal, Adobe, and National Geographic.