Senior Artificial Intelligence Engineer

Locations: San Francisco, CA Work Arrangement: 4–5 days per week onsite (In-person collaboration focus) Compensation: $425,000 – $600,000 Total Cash (Base + ~50% Performance Bonus)The OpportunityOur client is a premier global technology investment firm with a 26-year track record of excellence and over 200 employees. Despite their scale, they maintain a flat, entrepreneurial, and "deeply technical" culture.They are currently seeking a Senior AI Engineer (VP Level) to help lead a digital transformation. This is not a "maintenance" role; you will be tasked with reimagining the future of private equity. You will build the AI agents and autonomous workflows that will automate and augment the high-volume analytical work currently performed by investment professionals.Note: This role does not currently support sponsorshipsThe MissionYour goal is to move the firm beyond legacy workflows (Excel, email, and PowerPoint) and toward an AI-augmented investment process.Focus: Building agentic systems and AI applications that drive business value.Philosophy: Our client is not training foundational models from scratch. Instead, you will use off-the-shelf models (OpenAI, Anthropic, etc.) and focus on sophisticated orchestration, RAG systems, and workflow integration.Impact: You will identify repetitive, associate-level tasks and build systems where AI performs 80% of the heavy lifting, allowing humans to focus on high-level refining and decision-making.Key ResponsibilitiesArchitect & Build: Design and deploy AI-powered systems and agent-based frameworks into production.Integrate: Develop the architecture to connect LLMs with diverse data sources, including AWS, Snowflake, Salesforce, and external alternative datasets (market research, web traffic, etc.).Collaborate: Work directly with Investment Partners and Operating Teams to translate complex investment processes into automated AI workflows.Innovate: Serve as a technical leader in deciding when to use single vs. multi-agent systems and selecting the appropriate LLM for specific use cases.Candidate ProfileWe are looking for a builder, not a maintainer. The ideal candidate likely comes from a high-growth startup environment (Series A–C) or a specialized internal product team.Technical RequirementsFoundation: 5–10 years of professional experience, including at least 4+ years of core software engineering.AI Pivot: A deliberate focus over the last 2–4 years on Generative AI and LLM application design.Stack: Mastery of Python and Cloud Infrastructure (AWS preferred)Data Savvy: Experience with Snowflake and modern data pipelines (Fivetran, etc.). Exposure to financial data (EBITDA, market data) is a significant plus.Soft Skills & MindsetEntrepreneurial: You thrive in a flat organization where you are expected to take ownership and manage your own work."Code-Switcher": Ability to communicate technical architecture to engineers while explaining business value to Senior Investment Partners.Practicality: You prioritize shipping functional, high-impact tools over theoretical or academic exercises.Why Join?High Visibility: This role is integrated into the investment team; you will interact with firm leadership daily.Modern Tools: The team is already leveraging AI-assisted coding (Claude Code) and modern data stacks to move fast.J-18808-Ljbffr