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Acadian Asset Management is a global, systematic investment manager at the forefront of data-driven investing since 1986. Headquartered in Boston, with locations in Singapore, London, and Sydney, we manage over $195 billion on behalf of leading institutions worldwide—including pension funds, endowments, foundations, and sovereign wealth funds. We harness advanced technology, rich datasets, and multidisciplinary expertise to help clients navigate complex markets and uncover insights that may be overlooked by traditional approaches. What sets Acadian apart is our people. We foster a collaborative, intellectually curious environment where ideas are tested, diverse perspectives are welcomed, and innovation thrives. We’re united by a shared purpose: delivering effective client outcomes and supporting one another in work that’s both challenging and rewarding. We offer a flexible hybrid work environment, strong benefits, and a casual but focused office culture—all designed to support the meaningful, collaborative work that defines Acadian. Position Overview: The Investment AI Engineer is a senior, execution-focused individual in the Investment team, working alongside quantitative researchers and portfolio managers to design, build, and operate agentic solutions that accelerate the investment process. The role partners with Technology to evolve production-grade, enterprise AI capabilities, while remaining focused on building investment-specific skills, sub-agents, and workflows that enable safe, repeatable automation within research and portfolio workflows. This position reflects a broader shift toward instruction-driven development and human-in-the-loop agentic systems that augment investment teams while preserving judgment, rigor, and accountability. Key to success in this role is the ability to translate abstract investment and research intent into clear, achievable specifications and high‑quality merge requests that integrate cleanly into existing production systems. Acadian supports a hybrid work environment; employees are on-site in the Boston office 3 days a week.   What You’ll Do: Deliver reusable skills that encode investment workflows, conventions, and institutional knowledge for use across the Investment team. Implement safe automation practices, including human-in-the-loop review, testing, and controlled execution of agentic workflows. Design, build, and operate investment-facing AI agents, skills, and workflows that automate repeatable research and portfolio tasks. Define and maintain guardrails around cost, data access, agent scope, and commit size to ensure reliable and responsible usage. Translate complex, often ambiguous investment and research requirements into clear technical specifications, well-scoped tasks, and reviewable merge requests. Embed within existing investment teams, working closely with team leads and domain experts to translate investment intent into concrete, production‑ready agentic workflows and software changes. Partner directly with quantitative researchers and portfolio managers to prototype, refine, and productionize AI-enabled workflows. Measure and improve the outcomes of AI-enabled workflows, including adoption, quality, and time-to-value. Identify opportunities where agentic workflows can meaningfully improve investment productivity and decision support. Establish and reinforce review norms for agent-generated changes, ensuring clarity of intent, auditability, and accountability. Contribute to defining best practices for instruction-driven development and agentic workflows within the Investment team. Serve as a point of continuity between evolving AI capabilities and practical investment use cases, helping the team adapt as tools mature. We’re Looking for Teammates With: Bachelor’s degree in Computer Science, Engineering, or a relate