AI Lead/ Architect
Posted 2 weeks ago by Alphayotta
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The AI Lead/Architect role is a hands-on leadership position focused on driving AI initiatives within the organization. The successful candidate will collaborate with Product, Engineering, and Data teams to design and implement AI-driven solutions, ensuring alignment with business objectives. This position requires a blend of strategic oversight and technical expertise in AI and machine learning.
Key Responsibilities:
- Partner with Product and Engineering leadership to identify and prioritize high-impact AI/GenAI use cases
- Define solution architectures for AI-driven capabilities across data, applications, and workflows
- Provide hands-on technical leadership (~30–40%) in areas such as prototyping, model integration, and solution validation
- Guide teams on best practices for leveraging AI/GenAI tools within existing development workflows
- Support the development of scalable, reusable AI patterns and accelerators
- Collaborate with data teams to ensure strong alignment on data readiness, governance, and model performance
- Help establish practical frameworks for evaluating and deploying AI use cases in a controlled and scalable manner
Key Skills:
- 10–15+ years of experience in software engineering, data engineering, or related technical roles
- 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs
- Proven experience designing and implementing AI-driven solutions in enterprise environments
- Strong understanding of LLMs and GenAI ecosystems
- Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.)
- Data pipelines and data architecture
- Experience working cross-functionally with Product and Engineering teams
- Ability to balance strategic thinking with hands-on execution
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Overview We are seeking a highly experienced AI Lead / Architect to support evolving AI initiatives. This role will work closely with Product, Engineering, and Data teams to define, shape, and deliver practical AI-driven solutions across the organization. This is a hands-on leadership role, requiring both strategic oversight and the ability to contribute directly to solution design and implementation.
Key Responsibilities
- Partner with Product and Engineering leadership to identify and prioritize high-impact AI/GenAI use cases
- Define solution architectures for AI-driven capabilities across data, applications, and workflows
- Provide hands-on technical leadership (~30–40%) in areas such as prototyping, model integration, and solution validation
- Guide teams on best practices for leveraging AI/GenAI tools within existing development workflows
- Support the development of scalable, reusable AI patterns and accelerators
- Collaborate with data teams to ensure strong alignment on data readiness, governance, and model performance
- Help establish practical frameworks for evaluating and deploying AI use cases in a controlled and scalable manner
Required Experience
- 10–15+ years of experience in software engineering, data engineering, or related technical roles
- 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs
- Proven experience designing and implementing AI-driven solutions in enterprise environments
- Strong understanding of:
- LLMs and GenAI ecosystems
- Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.)
- Data pipelines and data architecture
- Experience working cross-functionally with Product and Engineering teams
- Ability to balance strategic thinking with hands-on execution
Preferred Qualifications
- Experience working in regulated or data-sensitive environments
- Familiarity with tools/platforms such as Azure AI, Databricks, or similar ecosystems
- Prior experience helping organizations adopt AI in a structured, scalable way
- Strong communication skills and ability to influence senior stakeholders
Key Attributes
- Pragmatic and execution-focused
- Comfortable operating in fast-paced, evolving environments
- Strong collaborator with a “build with the team” mindset
- Able to translate complex AI concepts into practical business value