• Bachelor's or master's (preferable) degree in engineering or sciences Preferred License/Certification
• Certifications in AI/ML engineering & Cloud Architecture (AWS/Azure/GCP)Required Qualifications/Skills/Experience
• 15+ years in software engineering, with 8+ years in hands-on leadership roles.
• Strong expertise in microservices, RESTful APIs, and distributed architectures.
• Experience in the following AI/ML technologies:

• Development:

  Python, FastAPI, Java, Spring AI, Async Programming

• Foundational Models:

  Gemini, OpenAI, Claude, Llama, Local Models

• Machine Learning:

  PyTorch, TensorFlow, Fine-tuning

• AI Frameworks:

  Google's ADK, LangChain, LlamaIndex, Hugging Face

• Orchestration:

  LangGraph, Multi-Agent Systems

• Retrieval Augmented Generation:

  PostgreSQL, Vector DBs, Advanced Retrieval

• Deployment:

  Docker, Production APIs, Monitoring

• Applied Methodology:

  Prompt Engineering, Workflow Design, GenAI Optimization
• Must have some Python/GenAI/LLM experience.
• Need atleast a year of AI experience. Preferred Qualifications/Skills/Experience
• Experience with Financial Risk and Data.

Overview:

• We are seeking a Senior Vice President (SVP) of Software Engineering who combines strategic leadership with hands-on technical expertise.
• This role is ideal for a technology leader passionate about building software at scale using cloud-native architectures, data engineering best practices, and modern UI development with Angular, while driving Agentic AI development within a SAFe Agile operating model.
• You will lead large-scale engineering initiatives, mentor senior engineering talent, and actively contribute to solution design and development.
• Drive Agentic AI development across product lines, leveraging LLMs for implementing business use cases and AI-driven automation to accelerate SDLC and deliver business value.
• Architect scalable, high-performing systems using cloud-native architecture and proven design patterns.
• Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead.
• Lead data engineering efforts, including data modelling, data pipelines (ETL/ELT), batch and streaming data processing, data governance (catalog/lineage) and quality engines, and big data technologies.
• Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement. Job Duties.
• Drive Agentic AI development across product lines, leveraging LLMs for implementing business use cases and AI-driven automation to accelerate SDLC and deliver business value.
• Architect scalable, high-performing systems using cloud-native architecture and proven design patterns.
• Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead.
• Lead data engineering efforts, including data modelling, data pipelines (ETL/ELT), batch and streaming data processing, data governance (catalog/lineage) and quality engines, and big data technologies.
• Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement.
• Actively contribute to product requirements analysis and solution architecture.
• Lead proof-of-concepts, design of critical components, and code reviews.
• Implement agents using Google's ADK.
• Implement foundational components across Java, Python, and React or Angular for enterprise-grade applications.
• Champion AI-based code generation tools to automate repetitive engineering tasks.
• Collaborate with DevOps teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability.
• Mentor and lead a global team of engineering leads and senior developers.
• Foster a culture of innovation, technical excellence, and accountability.
• Ensure compliance with security, regulatory, and performance standards.
• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.