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Tier-1 bank brand and broad GenAI production expectations create moderate applicant competition.
Role demands deep GenAI and financial-services experience, making cross-industry transferability limited.
Mandatory 10+ years and deep GenAI, cloud, and financial-services experience creates stringent shortlisting filters.
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Lead design and implementation of AI/ML solutions using microservices, RESTful APIs, and distributed architectures.
Drive development and deployment of advanced AI technologies including foundational models, ML frameworks, and orchestration systems.
Own cloud-native architecture and data engineering pipelines within large-scale financial services enterprise environment.
10+ years of experience in microservices, RESTful APIs, distributed architectures, and AI/ML technologies.
Hands-on expertise with Python, Java, FastAPI, PyTorch, TensorFlow, and AI frameworks like LangChain and Hugging Face.
Experience with cloud platforms (AWS, Azure, GCP), DevOps, CI/CD, container orchestration, and observability tools.
Experience in large-scale financial services enterprise environments.
Deep technical expertise in AI/ML development combined with strong data engineering and cloud-native architecture skills.
Capable of managing enterprise-scale agile deliveries under SAFe framework and collaborating with stakeholders across levels.
Experienced in deploying and scaling AI/ML solutions in complex financial services contexts with executive communication skills.