Job Opportunities API

About Future Standard Future Standard (formerly FS Investments) is an alternative asset manager dedicated to delivering attractive returns across private equity, private credit and real estate. Following its 2023 acquisition of Portfolio Advisors, FS now manages over $86 billion for both institutional and wealth management clients around the world, drawing on 30 years of experience and operating across nine global offices. The firm’s investment professionals manage a wide range of differentiated strategies across private markets and collectively manage relationships with 300+ sponsors. Future Standard’s active partnership model creates a virtuous cycle of superior market insights and deal flow, which inform the underwriting process and help to generate strong returns. FS India Journey Future Standard India (FSINV Global Services Private Limited) established its Global Capability Centre (GCC) in Bengaluru, India in January 2025. This strategic initiative marks a significant milestone in the company’s global footprint, with the center serving as a hub for cutting-edge technology innovation and digital transformation. Located in the heart of India’s tech capital, the Bengaluru GCC is focused on developing best in class talent and delivering high-impact solutions across engineering, operations, Data science, AI. With a strong commitment to building a collaborative and agile work environment, FS India aims to harness local expertise to drive global innovation and long-term value. https://futurestandard.com/ About the Job This role leads the CoE’s transformation agenda with a AI focused approach towards process engineering, workflow tooling and micro-portals, and governed adoption across CoreOps verticals. The role is responsible for building scalable delivery mechanisms and ensuring solutions meet non-functional - security, compliance, and maintainability requirements. What you will be doing Design and build automation and AI‑enabled services, agents leveraging Claude, Copilot and other AI coding assistants to accelerate scaffolding, iteration, and refactoring—while retaining full engineering ownership Champion spec‑driven development: write crisp functional and non‑functional requirements, acceptance criteria, edge cases, and failure modes, and use these specs to drive Claude‑assisted code generation and review Establish and operate a governed SDLC for automation and AI solutions, including version‑controlled agents, code reviews, test evidence, change control, and release discipline Define and socialize AI engineering guardrails, including human‑in‑the‑loop requirements, prompt discipline, determinism where required, and explicit mitigation strategies for hallucination and model risk Collaborate with CoreOps and business leaders to prioritize use cases, convert ambiguous business problems into actionable technical specs, and embed solutions into day‑to‑day execution Deep code reviews, stringent controls with shift left mindset, mentor a team of process intelligence engineers, building strong capability in spec writing, Claude‑assisted development, testing discipline, and production ownership Operate in a fast‑paced environment with iterative releases, rapid feedback loops, POCs with preview level toolsets and continuous refinement of agent specs, code, and outcomes Build and maintain version-controlled prompt/agent libraries, define evaluation metrics, run A/B tests and prompt regression, and maintain test evidence so agent performance remains stable across model/tool changes. Qualifications & Experience 4+ years of experience in process re-engineering, operations transformation, workflow automation, or technology-enabled change Experience with AI-assisted automation/agents Strong understanding of engineering and AI guardrails Excellent stakeholder management and communication skills; ability to influence across functions