Senior Application Development Lead-Senior Vice President

CitiTampa, FL
$141,440 - $212,160Onsite

About The Position

As the App Dev Senior Tech Lead Analyst, you will be responsible for the technical vision, architecture, and execution of this greenfield platform. You will lead a world-class engineering team from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands-on engineering to build a product that will have a direct and measurable impact on the front lines of our business.

Requirements

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.
  • 10+ years of experience in software engineering, with at least 4+ years in a leadership role, leading high-performing engineering teams.
  • Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
  • A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
  • Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable.
  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals.
  • Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)
  • Hands-on experience designing and implementing multi-agent architectures(task decomposition, coordination, orchestration, and agent-to-agent (A2A) interaction patterns)
  • Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns
  • Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation
  • End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization
  • Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance
  • API- and event-driven integration of AI into enterprise workflows
  • Databricks, Spark, Snowflake; streaming via Kafka
  • Python (expert), Java/Spring Boot (enterprise standard), Go (plus)
  • Microservices, domain-driven design, event-driven systems
  • REST/gRPC; Apigee, Kong
  • PostgreSQL/Oracle, MongoDB/Cassandra, Kafka
  • Docker, Kubernetes (GKE/EKS)
  • Terraform
  • GitHub Actions, Jenkins
  • Splunk, ELK, Prometheus, Grafana
  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

Nice To Haves

  • Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable.
  • Go (plus)

Responsibilities

  • Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.
  • Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example.
  • Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions.
  • Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
  • Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges.
  • Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability.
  • Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth.
  • Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.

Benefits

  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.
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