Engineering Manager
Posted 3 days ago by Orbis Group
£1,000 Per day
Inside
Hybrid
London Area, United Kingdom
Summary: The AI Engineering Manager role involves leading the AI and automation agenda for a global private-markets investment firm. This interim position requires overseeing both product and data engineering teams, focusing on strategy development for AI use cases within a Microsoft-heavy technical environment. The role demands strong communication skills and a background in financial services, particularly in private equity or private markets.
Key Responsibilities:
- Lead the AI and automation agenda across a team of 15-20 engineers.
- Set the strategy for AI and automation use cases in a Microsoft-heavy environment.
- Oversee product engineering and data engineering initiatives.
- Manage data engineering tasks including pipelines and AI-enabling data work.
- Ensure compliance and assess risks associated with GenAI/AI tools and frameworks.
- Communicate effectively with stakeholders to align on project goals.
Key Skills:
- Experience in AI and automation engineering.
- Strong background in data engineering and Microsoft technologies (C#/.NET, Python).
- Familiarity with Azure Data Platform and related services.
- Knowledge of GenAI/AI tools, frameworks, and compliance considerations.
- Financial services experience, ideally in private equity or private markets.
- Excellent communication and stakeholder management skills.
Salary (Rate): £1000/day
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: Other
Job Title: AI Engineering Manager
Location: London/Hybrid - Onsite 3 days/week
Contract Type: 6 month Contract + extensions
Daily Rate: Circa £1000/day+ inside ir35
Start Date: Asap
Orbis is partnering with a leading global private-markets investment firm that require an AI Engineering Manager to lead their AI / automation agenda. This is an interim role with the scope to join the company permanently. They require someone to own both product engineering and data engineering across a team of ~15–20 engineers (onshore + offshore). You would be responsible for setting the strategy for AI and automation use cases across the following technical environment: Microsoft Heavy Environment (C#/.NET and Python) Azure-centric: Azure Data Platform, Azure Databricks, Azure data services. Comfortable across Data engineering (pipelines, data platform, AI-enabling data work) Knows current GenAI/AI tools, frameworks, model types, public vs private model risks, compliance considerations Financial Services background (ideally private equity/private markets) Very strong communication and stakeholder skills
If this is interesting, please apply or reach out directly to ashwin@weareorbis.com.