Engineering Manager – AI/Fintech (Pune, Maharashtra)
Location: (on-site) Pune, Maharashtra
Employment Type: Full-Time
Experience: 12+ years (with 5+ years in Engineering Leadership)
Introduction
A fast-growing, Series A–funded
AI-driven Fintech product company is expanding its engineering leadership team. Built on proprietary foundation models and advanced NLP/ML technology, the organization powers mission-critical solutions for leading global banks, asset managers, and financial institutions managing
USD 500B+ in AUM.
As the company scales its platform and product suite globally, they are looking for an
Engineering Manager to lead high-performing engineering teams, shape technical strategy, and deliver world-class AI/ML-powered fintech applications.
This is an exceptional opportunity for a seasoned engineering leader who wants to influence architecture, elevate engineering excellence, and build next-generation AI systems for the financial services industry.
Key Responsibilities
Technical Strategy & Architecture
- Define and evolve the technical vision for AI- and model-driven product platforms.
- Lead architecture discussions and contribute to hands-on technical design.
- Ensure system scalability, reliability, security, and performance across large-scale deployments.
- Drive coding standards, code reviews, CI/CD processes, and technical debt reduction.
Team Leadership
- Build, mentor, and manage engineering teams across ML, backend, and frontend.
- Conduct 1:1s, performance reviews, and ensure structured career development.
- Foster a culture of ownership, innovation, inclusivity, and continuous learning.
Project & Delivery Management
- Own end-to-end project delivery, including planning, execution, timelines, and stakeholder alignment.
- Partner closely with Product, Design, and Data Science teams to deliver high-impact solutions.
- Implement, improve, and scale Agile/Scrum practices, KPIs, and retrospectives.
- Identify risks early and create mitigation strategies for technical or operational challenges.
Engineering Excellence & Quality
- Lead technical hiring, define role requirements, and ensure high-quality talent acquisition.
- Oversee automated testing, observability, monitoring, and incident management.
- Manage bug triage, root-cause analysis, and engineering support processes.
Innovation & Continuous Improvement
- Promote design thinking, user-centered problem solving, and experimentation.
- Evaluate and introduce new tools, frameworks, and architectures.
- Balance innovation with platform stability, security, and compliance requirements.
- Keep the team updated with industry best practices and evolving AI/ML technologies.
Stakeholder & Client Interaction
- Act as a technical point of contact for senior management and enterprise clients.
- Present architecture decisions, technical roadmaps, and post-mortem reviews.
- Incorporate client feedback into product and engineering planning.
Requirements
- 12+ years of software engineering experience with 5+ years in people leadership or engineering management.
- Strong expertise in Python, Java, C++, or similar modern stacks.
- Hands-on experience with cloud platforms (AWS/GCP/Azure), microservices, Docker, Kubernetes.
- Proven track record in large-scale distributed system design and high-availability production systems.
- Exposure to AI/ML platforms, foundation models, or MLOps pipelines (highly preferred).
- Strong capability to attract, hire, and retain top engineering talent.
- Experience with Agile methodologies, resource planning, and technical risk management.
- Excellent communication and stakeholder-management skills, including presenting to leadership teams.
- Experience in trading systems, real-time data, or quantitative analytics is a plus.
- Bachelor's/Master's in Computer Science, Engineering, or a related field. Preference for top-tier institutes.
Why This Role Is Exciting
- Build and scale cutting-edge AI systems used by global financial institutions.
- Lead high-impact engineering initiatives in a rapidly growing product organization.
- Work with advanced NLP, ML, DL, and foundation-model technologies.
- Influence architecture and team structure during a high-growth phase.
- Opportunity to directly contribute to innovation within the BFSI AI ecosystem.
Skills: ai,engineering,architecture,ai/ml,management,computer science,leadership,product
Skills Required
Docker, Microservices, Kubernetes, Gcp, MLops, Azure, Java, Aws, Python
