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Randstad NV in India seeks a seasoned Principal AI Engineer / AI Engineering Lead to drive the technical vision for Finance Digital Transformation. You will act as a player-coach, leading AI projects while writing production-grade code and shaping scalable AI architectures.
You will guide teams, partner with finance stakeholders to automate workflows, and enhance reporting. Deep expertise in Python, AI/ML, and cloud platforms is essential for success.
Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work.
We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we'll help them continue to grow as their needs and ambitions change.
At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally.
We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.
Please find the JD here.
Job Title: Principal AI Engineer / AI Engineering Lead (Finance Transformation)
Experience Level: 15+ Years
Location: [Insert Location / Remote]
We are looking for a highly experienced and hands‑on AI Engineering Lead to join our Finance Digital Transformation team. In this role, you will drive the technical vision and delivery of multiple AI initiatives designed to modernize our financial systems and processes. This is a "player-coach" role-you will lead projects and guide teams, but you will also roll up your sleeves to write code, build AI architectures, and solve complex technical problems.
Lead AI Initiatives: Manage and deliver multiple AI projects at the same time, overseeing both new development and the ongoing support of existing applications.
Hands‑On Development: Actively write clean, scalable code and build robust AI models, agents, and backend services.
Finance Transformation: Partner with finance business leaders to identify ways AI can automate workflows, improve financial reporting, and drive our digital transformation goals.
System Architecture: Design the technical architecture for highly secure, scalable, and reliable AI solutions tailored for financial data.
Production Ownership: Oversee the end-to-end lifecycle of AI products, ensuring they are deployed smoothly and supported effectively in production.
Mentorship & Leadership: Guide, mentor, and grow a team of developers and support engineers, setting high standards for coding and platform reliability.
Experience: 15+ years of hands‑on experience in software engineering, with a strong, recent focus on Artificial Intelligence, Machine Learning, and Cloud architecture.
Programming Mastery: Expert‑level coding skills, primarily in Python (knowledge of JavaScript/TypeScript or Java is a strong plus), with a deep understanding of writing production‑grade code.
AI & Cloud Expertise: Strong hands‑on experience building and deploying generative AI, LLMs, or machine learning models on enterprise cloud platforms (such as GCP/Vertex AI, AWS, or Azure).
Leadership Skills: Proven track record of leading technical teams, managing multiple project deliverables, and bridging the gap between development and production support.
Domain Knowledge: Previous experience working on financial systems, FinTech, or large‑scale digital transformation projects within a corporate finance department.
Communication: The ability to translate complex AI and technical concepts into simple terms for non‑technical finance executives and stakeholders.
Strong understanding of MLOps, CI/CD pipelines, and automated deployment strategies.
Familiarity with financial data security, compliance, and regulatory standards.
Experience with containerization (Docker, Kubernetes) and microservices architecture.