Overview
Full Time
Skills
Data Science
Training
Prototyping
Trading
Performance Management
Project Management
Preventive Maintenance
Decision-making
WINS
Computer Science
Mathematics
Customer Facing
Research
Collaboration
Python
Data Manipulation
Modeling
SQL
Database
Workflow
Artificial Intelligence
Amazon Web Services
Cloud Computing
Git
Version Control
Orchestration
Soft Skills
Conflict Resolution
Problem Solving
Analytical Skill
Communication
Management
Job Details
Role Overview
The Data Science & AI organization is building an elite group of AI solutions engineers to accelerate adoption of BAM's in-house AI products across investment strategies. As a Solutions Engineer, you will embed directly with portfolio managers and analysts, training users, evangelizing new features, and implementing agentic solutions that measurably improve traders' decision speed and research processes. You will act as the "last mile" between our platform and the investment desk - driving adoption of in-house tools, rapidly prototyping agentic workflows, and funneling feedback back to BAM's Applied AI team.
Key Responsibilities
Qualifications
Education: Master's degree in Computer Science, Engineering, Mathematics, or equivalent work experience. Advanced degrees are preferred.
Experience:
Technical Skills
Soft Skills
The Data Science & AI organization is building an elite group of AI solutions engineers to accelerate adoption of BAM's in-house AI products across investment strategies. As a Solutions Engineer, you will embed directly with portfolio managers and analysts, training users, evangelizing new features, and implementing agentic solutions that measurably improve traders' decision speed and research processes. You will act as the "last mile" between our platform and the investment desk - driving adoption of in-house tools, rapidly prototyping agentic workflows, and funneling feedback back to BAM's Applied AI team.
Key Responsibilities
- Drive Adoption: Embed with trading desks to maximize the value derived from BAM's in-house AI tools
- Partner Closely: Translate PM and analyst requirements into concrete technical solutions
- Train & Enable: Deliver demos, host office hours, and create cheat-sheets to simplify every PM & analysts' journey with our solutions
- Streamline Processes: Continuously evaluate the workflows of our investment teams and inject AI where it improves efficiency and investment decision making
- Relay Feedback: Capture on-desk insights and relay them to the Applied AI team to sharpen and extend existing products.
- Maintain Edge: Track emerging LLM techniques, pilot promising ideas, and feed proven wins back into the platform.
Qualifications
Education: Master's degree in Computer Science, Engineering, Mathematics, or equivalent work experience. Advanced degrees are preferred.
Experience:
- 3 - 5 years of experience in a customer facing engineering role (solutions/field/forward-deployed)
- Preference for candidates with prior buy-side or equity research experience - hands-on company analysis and direct collaboration with portfolio managers
Technical Skills
- Expertise in Python for data manipulation and modeling, along with strong SQL skills for database querying.
- Experience integrating LLMs and AI models into production workflows
- Familiarity with OpenAI APIs, Anthropic's Claude, or similar AI services
- Familiarity with AWS or other cloud platforms, Git for version control, and Airflow (or similar orchestration tools) is a strong plus.
Soft Skills
- Strong problem-solving and analytical skills
- Excellent communication and interpersonal skills
- Ability to work independently and as part of a team
- Demonstrated ability to manage multiple projects and meet deadlines
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