Engineering Head - AI - BFSI

Description:

Qualifications & Experience:

- Masters or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related
from a globally ranked institution.

- 12+ years driving large-scale enterprise apps, including 8+ years building enterprise AI
platforms and delivering multi-product rollouts in a BFSI/fintech domain.

- Proven track record in architecting and scaling AI/ML platforms, leading
hands-on teams, and operating systems in production at scale. In the past few years,
delivered end-to-end GenAI solutions with deep expertise in transformer architectures, GPU
optimization, LLM data preparation, fine-tuning, evaluation, and deployment.

Skills:

- Hands-on experience scaling AI/ML applications (e.g., Uvicorn, vLLM) in production.

- Advanced orchestration of large ML systems and agentic workflows end-to-end.

- Evaluation frameworks across classical ML and GenAI (task metrics, robustness,
safety).

- Deep infrastructure understanding (GPU/CPU architecture, memory/throughput) and
MLOps for model operationalization.

- Application architecture expertise: modular design, shared large-model
services across multiple application components.

- Modern cloud proficiency: AWS, GCP (compute, networking, storage, security).

- Strong programming discipline and production deployment best practices.

- Team scaling & mentoring; effective cross-functional leadership.

- Business outcomedriven product strategy and prioritization.

Responsibilities:

- Define and lead AI platform technology strategy, driving innovation across agentic, lowcode and document science platforms, advanced LLM search, and next-gen financial
products.

- Architect multi-agent, autonomous workflow solutions and ensure scalable, resilient ML
infrastructure to support cross-domain product delivery.

- Create and own the technology roadmap aligned to strategic business goals and
competitive market positioning.

- Lead and scale the AI engineering and Data Science team from 40+, building
organizational excellence in MLEs, MLOps, and data engineering.

- Establish and champion best practices in AI governance, ethical frameworks, and
business impact measurement.

- Drive cross-functional stakeholder engagement, collaborating closely with product, design,
data, and industry partners to accelerate platform innovation and industry leadership.

- Represent the company as an authority on AI within industry forums, publications, and
speaking events.

- Foster a culture of continuous learning, mentorship, and innovation, developing highpotential AI talent for next-generation leadership.

- Own and report platform success metrics, business impact KPIs, and deliver on ambitious
product growth.

- Example technical challenges: Design scalable document AI and agentic search workflows
for high-volume BFSI use cases; deploy autonomous ML systems supporting real-time
lending and regulatory compliance; orchestrate and optimize multi-agent workflows for
financial products lifecycle.

Product Strategy & Vision:

- Shape the future of industry agnostic agentic AI platforms and drive and reimagine market
leading AT native product offering in BFSI and other chosen verticals.

- Define and implement scalable product roadmaps leveraging advanced ML, LLM, and
agentic systems.

- Build and deploy cross-cutting products that bridge multiple financial domains and enable
high-impact business outcomes.