AVP, Applications Development - AI-Driven Cloud Architect

For additional information, please review .## We are seeking a
** Assistant*
* ** Vice President (AVP) of Software Engineering
** who combines deep
** technical knowledge
** with
** hands-on technical expertise**. This role is ideal for a senior software engineer passionate about
** building software at scale
** using
** cloud-native architecture**,
** data engineering best practices**, and
** modern UI development with React**, while driving
** Generative AI adoption
** for business use cases within a
** SAFe Agile operating model**. You will be part of
** large-scale engineering initiatives**, work with top engineering talent, and actively contribute to
** solution design and development**.* ## Contribute to architecture of
** scalable, high-performing systems
** using
** cloud-native architecture
** and proven design patterns.* ## Contribute to
** Generative AI adoption
** across product lines, leveraging
** Python,*
* ** LLMs, and Agentic platforms and tools such as Google's Vertex AI and ADK*** ## Contribute to
** foundational frameworks
** across middleware and UI to accelerate development and reduce maintenance overhead.* ## Contribute to
** data engineering efforts**, including:+ ## Data modeling+ ## Data pipelines (ETL/ELT)+ ## Batch and streaming data processing+ ## Data governance (catalog/lineage) and quality engines+ ## Big data technologies* ## Adopt
** AI-driven automation
** to accelerate SDLC and deliver business value.* ## Work on
** proof-of-concepts**, design and development of critical components, and
** code reviews**.* ## Implement foundational components across
** Java**,
** Python**, and
** React
* * for enterprise-grade applications.* ## Champion
** AI-based code generation tools
** to automate repetitive engineering tasks.* ## Collaborate with
** Dev Ops teams
** to optimize
** CI/CD pipelines**,
** containerization (Docker/Kubernetes)**, and observability.## Actively contributes to
** product requirements analysis
** and
** solution architecture**.* ## Proven experience implementing business use cases in
** Generative AI technologies** (LLMs, prompt engineering, AI integration patterns, Agentic AI).* ## Proven experience in
** cloud-native architecture
** and
** public cloud platforms** (AWS, Azure, GCP).* ## Strong expertise in
** microservices**,
** RESTful APIs**, and
** event-driven architectures**.* ## Hands-on experience with
** React**,
** Type Script**, and modern front-end frameworks.* ## Deep experience in
** data engineering**, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies.* ## Clear understanding of
** SAFe Agile framework
** and enterprise-scale agile delivery.* ## Knowledge of
** Dev Ops**,
** CI/CD**,
** container orchestration**, and observability tools.* ## Experience in
** large-scale financial services enterprise environments**.* ## Excellent
** communication**,
** stakeholder management**, and
** executive reporting skills**.##
** 5+ years
** in software engineering, with
** hands-on experience*** ##

Experience with
** Financial Risk and Data**.* ## Certifications in
** Cloud Architecture** (AWS/Azure/GCP) and
** SAFe Agile**.* ## Certification in
** AI/ML technologies
** such as Google ADK
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