Technical Lead - AI Platform & Generative AI Lab at Brown Brothers Harriman in Krakow

  • Company: Brown Brothers Harriman
  • Location: Krakow
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-19

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Job description

At BBH, Partnership is more than a form of ownership—it’s our approach to business and relationships. We know that supporting your professional and personal goals is the best way to help our clients and advance our business. We take that responsibility seriously. With a 200-year legacy and a shared passion for what’s next, this is the right place to build a fulfilling career. Location: Kraków Hybrid model: Hybrid model 3 days per week in the office /2 days for a parent of a child up to 4 years old About the team: This is an opportunity to help shape the future of AI at BBH. You will work at the intersection of platform engineering, emerging AI technologies, and business transformation. As part of our AI Lab, you will have the opportunity to influence strategic technical decisions, build capabilities that enable teams across the organization, and solve challenging problems related to scalability, governance, adoption, and operationalization of Generative AI. If you are passionate about building AI platforms, leading talented engineers, and turning cutting-edge AI technology into real business value, we would love to hear from you. We are seeking a senior technology leader who can contribute to architecture decisions, mentor engineers and partner with business stakeholders to bring high-value AI use cases from concept to production. The candidate will play a key role in establishing our AI Platform as a foundation for innovation, helping the team leverage Generative AI safely, effectively, and at scale. The ideal candidate combines deep hands-on engineering expertise in Python, platform engineering, and distributed systems with leadership skills and a strong interest in modern AI technologies, including LLMs, AI Agents, Retrieval-Augmented Generation (RAG), and enterprise AI governance. In our team, you will be responsible for: Drive the implementation of architectural decisions for AI Platform services within the team and establish technical direction for the engineering team. Drive the evolution of BBH's AI ecosystem by leading one of the AI Lab Agile teams from experimentation and proof-of-concepts to production-ready, enterprise-grade solutions. Partner with business stakeholders to identify, prioritize, and onboard high-value AI use cases. Define and promote engineering standards, architecture principles, and best practices across the AI Lab. Mentor and coach engineers while fostering a culture of technical excellence, innovation, and continuous learning. Establish reusable patterns, shared services, and platform capabilities that accelerate AI adoption across teams. Lead technical investigations, root cause analysis, performance tuning, and production issue resolution. Evaluate emerging AI technologies and recommend practical approaches aligned with business objectives. Collaborate closely with enterprise architecture, security, data, and engineering teams to ensure scalable, secure, and compliant solutions. Promote coding best practices, perform architecture and code reviews within the team, and guide technical decision-making. Create prototypes and proofs of concept to validate innovative ideas and new AI capabilities. Act as a trusted advisor on AI strategy, platform architecture, and technical direction. What we’re looking for: 8+ years of software engineering experience, including experience as a Technical Lead or Engineering Lead. Proven experience leading engineering teams and delivering complex technology initiatives. Experience driving technical architecture implementation and scalable software solutions. Strong hands-on experience with Python and modern backend development. Experience profiling and debugging Python applications, including memory leaks, performance bottlenecks, concurrency issues, and high CPU utilization. Experience processing and transforming large datasets efficiently with a focus on performance, scalability, and resource optimization. Strong understanding of asynchronous programming in Python,

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