AI Enterprise Architect (AI Architecture AgenticAI Agentic AI Claude Code Lovable Enterprise Architect Governance Policy Roadmap Strategy Databricks Snowflake AWS Bedrock Buy Side Buy-Side Asset Manager Investment Hedge Fund Wealth Banking Finance Financial Services) required by our asset manager client in New York City.
You MUST have the following:
- Strong experience as an Enterprise Architect
- Excellent experience leading the implementation of AI across an enterprise environment
- AI governance, policy and strategy definition across an enterprise environment
- Experience building an AI adoption roadmap/target state
- Experience integrating AI with enterprise data platforms like Databricks and Snowflake
- LangChain and/or LangGraph
- Agentic AI tooling
The following is DESIRABLE, not essential:
- Finance
- AWS Bedrock
- Asset management/investment management
Role: AI Enterprise Architect (AI Architecture AgenticAI Agentic AI Claude Code Lovable Enterprise Architect Governance Policy Roadmap Strategy Databricks Snowflake AWS Bedrock Buy Side Buy-Side Asset Manager Investment Hedge Fund Wealth Banking Finance Financial Services) required by our asset manager client in New York City. You will be joining a central, global team of 10 that are responsible for defining and implementing company-wide strategy and policy across domains such as security, infrastructure, applications and engineering. You will be hired as the specialist and lead for AI. They have been adopting AI for a number of years but want to accelerate this. You will begin by understanding what is in place at the moment, defining the strategy, implementing the strategy and then creating guidelines, governance and frameworks for it's use. You will contribute towards securing the budget, modelling the use of tokens and setting the milestones for AI adoption with the intention of making this an AI-led asset manager.
You will have experience implementing AI at an enterprise-level. You will be familiar with the definition and implementation of policies and strategy. Any background in machine learning and data science would be advantageous but is not essential.
The team has a hybrid working policy. You would be in the office for 2 days/week between Tuesday, Wednesday and Thursday.
Salary: $250k - $325k + 30% Bonus + 401k
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