Agentic AI & Systems Transformation

• Agentic Modernization: Evaluate existing high-friction financial workflows and design AI agent architectures (Sequential, Parallel, and Loop patterns) to replace manual intervention with autonomous reasoning.
• Google Cloud Platform AI Orchestration: Design and optimize scalable AI microservices using Vertex AI, Cloud Functions, and BigQuery to serve intelligent features in production.
• Connectivity: Experience connecting AI solutions with internal documents, APIs, databases, and existing business applications
• Knowledge Infrastructure: Develop and maintain sophisticated Retrieval-Augmented Generation (RAG) pipelines, optimizing document store chunking and vector embedding strategies to support multi-agent decision tools.
• Advanced Framework Implementation: Build robust systems using various AI architectures, including Model Context Protocol (MCP) for standardized tool integration, reinforcement learning agents, and conversational frameworks.
• Regulatory Integration: Collaborate with cross-functional teams to integrate AI into core business processes while strictly adhering to data governance, security, and financial regulatory standards.
• Innovation & Experimentation: Drive continuous improvement through hands-on experimentation with emerging tools like Google ADK, LangGraph, and specialized inference optimization techniques.
• Skill Files & Prompt Engineering: Develop and manage agent 'skill files' (tools/function calls) and implement advanced prompt engineering techniques to ensure optimal reasoning and execution accuracy for complex, multi-step workflows.
• Day-to-Day Focus
• Technical Leadership: Lead design sessions for new agent architectures (Sequential, Parallel, and Loop patterns) and translate complex financial workflows into autonomous, multi-step execution plans.
• Production Engineering: Write, test, and review production-grade Python code for Google Cloud Platform microservices and agent skill files (tools/function calls) to ensure high reliability.
• AI Operations: Manage the deployment, monitoring, and scaling of AI features using Vertex AI, Cloud Functions, and serverless architectures.
• Strategic Collaboration: Collaborate closely with product managers, data scientists, and regulatory/compliance teams to ensure AI solutions meet business goals and institutional standards.

• AI Expertise: Minimum of 5-6 years of professional engineering experience, with deep hands-on expertise in agentic frameworks (e.g., Google ADK, LangGraph, CrewAI) and multi-agent planning/MCP.
• Google Cloud Platform Proficiency: Advanced knowledge of the Google Cloud ecosystem, specifically Vertex AI, AI Platform, and serverless architectures.
• Programming Core: Expert-level proficiency in Python (including FastAPI, PyTorch, or TensorFlow) and experience with scalable API design.
• Enterprise Automation: Proven track record of deploying intelligent agents and workflow automation in complex, large-scale enterprise environments.
• Regulated Domain Knowledge: Sophisticated understanding of financial data governance, zero-trust security architectures, and compliance for AI workloads., * Financial Transformation: Prior experience leading large-scale modernization projects within the banking or wealth management sectors.
• Conversational Intelligence: Familiarity with Google Dialogflow, multimodal agent flows (e.g., Pipecat), and advanced decision support frameworks.
• Semantic Integration: Experience integrating AI agents with Knowledge Graphs, semantic search, and managed vector infrastructure like Weaviate.
• Professional Competencies (Soft Skills)
• Strategic Thinking: Ability to translate complex business challenges into scalable AI roadmaps.
• Stakeholder Influence: Strong communication skills to bridge technical execution with executive business goals.
• Adaptability: A "founder-energy" mindset with the ability to navigate the rapidly evolving AI landscape and solve ambiguous technical problems.

Value Technology is seeking a high-impact Senior Software Engineer to lead the strategic modernization of our global financial ecosystem. In this pivotal role, you will move beyond traditional automation to architect production-grade "AI teammates" that autonomously execute complex, multi-step financial workflows. You will be at the forefront of replacing legacy processes with intelligent, agentic solutions built on Google Cloud Platform (Google Cloud Platform), ensuring our institution remains a leader in the next generation of AI-driven finance.