AI Solution Architect
Posted 3 days ago by CACTUS IT SOLUTIONS on Linkedin
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The AI Solution Architect role requires a technically proficient and business-oriented individual to partner with key platform customers, guiding them through the application development lifecycle. The position involves leading technical initiatives, collaborating with various teams, and providing strategic insights to maximize customer value. The architect will also contribute to open-source resources and enhance the Solutions Architect function through knowledge sharing. A strong background in AI and cloud technologies is essential for success in this role.
Key Responsibilities:
- Lead development and provide hands-on technical leadership in proofs-of-concept or proofs-of-architecture for customers.
- Collaborate with application engineers, product managers, and data scientists to deliver impactful solutions.
- Serve as a technical thought partner for strategic platform customers in application ideation and development.
- Guide customers on maximizing business impact and accelerating time to value from their applications.
- Manage relationships with customer leadership and stakeholders for successful application deployment and scaling.
- Contribute to open-source developer and enterprise resources.
- Share knowledge and codify best practices to scale the Solutions Architect function.
- Deliver high-signal feedback to Product and Research teams.
Key Skills:
- 15+ years of experience in data and analytics, with a focus on AI/ML technologies.
- Knowledge of Transformer architectures, data lake architectures, data integration, and data governance.
- Experience with cloud-based AI/ML technologies (AWS, Azure, Google, etc.).
- Proficiency in Python and Jupyter Notebooks.
- In-depth knowledge of cloud platforms (AWS, GCP, Azure).
- Expertise in frameworks like TensorFlow, Pytorch, or Keras.
- Experience with statistical programming languages (R or Python) and applied machine learning techniques.
- Understanding of NLP engines, AI, and machine learning frameworks.
- Strong analytical, problem-solving, and communication skills.
- Graduate in Engineering or Master's in Computer Applications.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT