AI Engineer, GSS at Bain Capital in Boston

Summary: Bain Capital is one of the world’s leading private investment firms with approximately $215 billion of assets under management. They are seeking an AI Engineer to design and deploy AI tools that enhance the efficiency of the investment process and internal business operations. Responsibilities: - Build and deploy AI solutions to streamline all aspects of the investment process — from sourcing and market mapping to due diligence and portfolio analytics - Build and deploy AI solutions to streamline all aspects of internal business processes — from finance to operations, from legal to HR - Prototype and evaluate AI tools (LLMs, agents, data enrichment, automation frameworks, etc.) that can improve decision-making and team efficiency - Collaborate with investment professionals to identify high-value use cases, translate business needs into technical projects, and deliver functional tools - Collaborate with AI practitioners across Bain Capital businesses to share learnings, codify best practices, build common AI tools to accelerate path to impact - Manage pilots with leading AI vendors, evaluate their fit, and lead implementations when appropriate - Maintain and extend internal data pipelines, API connections, and tool integrations supporting the investment platform - Act as an internal “AI champion” — helping train the team on new capabilities and ensuring adoption of the most useful tools and workflows Required Qualifications: - Bachelor's degree in Computer Science, Engineering, Applied Math, or a related technical field - 1–4 years of professional experience (can include internships or project work) - Technical aptitude — comfortable writing Python, working with APIs, and experimenting with AI models and data tools - Curiosity and experimentation mindset — someone who loves exploring new technologies and quickly figuring out what's useful vs. hype - Structured problem-solving and ownership — you'll often start from a loose idea and need to define, build, and deliver something tangible - Strong communication and collaboration skills — able to work cross-functionally with investment professionals, data engineers, and vendors - Grit and bias to action — someone who gets things done without overcomplicating - Team player — someone that thrives collaborating and contributing to a larger AI community of practice and helps create an environment of excellence for AI practitioners Preferred Qualifications: - Experience with Python, data APIs, or lightweight web/app development a plus - Familiarity with LLMs, prompt engineering, vector databases, Agentic AI and workflow automation tools - Experience with Claude Code, OpenAI Codex, or Google Gemini CLI - Experience with Cursor, Windsurf, or other AI-centric IDEs - Prior exposure to finance, investing, or data-heavy analysis environments helpful but not necessary Required Skills: Python, APIs, AI models, Data tools, LLMs, Prompt engineering, Vector databases, Agentic AI, Workflow automation tools, Claude Code, OpenAI Codex, Google Gemini CLI, Cursor IDE, Windsurf IDE, Finance domain knowledge, Investing domain knowledge, Data-heavy analysis, Curiosity, Experimentation mindset, Structured problem-solving, Grit, Bias to action Benefits: Competitive benefits package designed to support employees’ health, financial security, family needs, and overall well-being, Discretionary annual bonus based upon factors such as individual impact, team and firm performance