As a Technical Leader for Artificial Intelligence you will be responsible for:
- Lead end-to-end delivery for multi-team engagements converting strategy into executable roadmaps with clear milestones risk controls and timely decisions.
- Build high-performing teams through coaching and firm standards; resolve conflicts early and develop successors to mitigate key-person risk.
- Serve as a trusted client counterpart- facilitate outcome-oriented workshops align stakeholders negotiate scope/change and maintain a value-prioritized backlog.
- Drive commercial outcomes by shaping proposals/SOWs producing defensible estimates tracking margin/utilization/forecast accuracy and identifying compliant value-accretive expansions.
- Provide architectural leadership and governance documenting trade-offs and aligning with security compliance cost and operability.
- Lead team of AI developers.
- Technical verification of Candidates.
Qualifications :
Must have requirements:
- Knowledge of Microsoft Azure and/or Google Cloud environments particularly in the field of AI & Data solutions.
- Practical ability to use LLM services e.g. GPT Open AI / Google Gemini / Mistral / Llama (including completed commercial projects).
- Understanding of current trends in application engineering using GenAI.
- Programming skills and knowledge of SQL / Python.
- Presales skills i.e. preparing preliminary PoCs and presenting them to customers.
- Knowledge of English at B2 level.
Nice to have requirements:
- Data science skills (model training model operationalization)
- AI Ops skills (understanding and implementation of best practices in model management)
Remote Work :
No
Employment Type :
Full-time
As a Technical Leader for Artificial Intelligence you will be responsible for:Lead end-to-end delivery for multi-team engagements converting strategy into executable roadmaps with clear milestones risk controls and timely decisions.Build high-performing teams through coaching and firm standards; res...
As a Technical Leader for Artificial Intelligence you will be responsible for:
- Lead end-to-end delivery for multi-team engagements converting strategy into executable roadmaps with clear milestones risk controls and timely decisions.
- Build high-performing teams through coaching and firm standards; resolve conflicts early and develop successors to mitigate key-person risk.
- Serve as a trusted client counterpart- facilitate outcome-oriented workshops align stakeholders negotiate scope/change and maintain a value-prioritized backlog.
- Drive commercial outcomes by shaping proposals/SOWs producing defensible estimates tracking margin/utilization/forecast accuracy and identifying compliant value-accretive expansions.
- Provide architectural leadership and governance documenting trade-offs and aligning with security compliance cost and operability.
- Lead team of AI developers.
- Technical verification of Candidates.
Qualifications :
Must have requirements:
- Knowledge of Microsoft Azure and/or Google Cloud environments particularly in the field of AI & Data solutions.
- Practical ability to use LLM services e.g. GPT Open AI / Google Gemini / Mistral / Llama (including completed commercial projects).
- Understanding of current trends in application engineering using GenAI.
- Programming skills and knowledge of SQL / Python.
- Presales skills i.e. preparing preliminary PoCs and presenting them to customers.
- Knowledge of English at B2 level.
Nice to have requirements:
- Data science skills (model training model operationalization)
- AI Ops skills (understanding and implementation of best practices in model management)
Remote Work :
No
Employment Type :
Full-time
View more
View less