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As the App Dev Senior Tech Lead Analyst, you will responsible for the technical vision, architecture, and execution of Financial Analytics application. You will lead a world-class technology team, 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.
Job Responsibility
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 and scalable 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
Requirements
12+ years of experience in software engineering, with at least 2+ years in a leadership role, leading high-performing engineering teams
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Proven experience as a 'player-coach' who can lead from the front, contribute to the codebase, and mentor junior and senior engineers
Strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up
Experience in the financial services, especially Financial Analytics is a significant plus
Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals
Java full stack/Spring Boot (enterprise standard) and Python Go (plus)
Microservices, domain-driven design, event-driven systems
REST/gRPC
Apigee, Kong
PostgreSQL/Oracle, MongoDB
Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)
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
Data platforms: Databricks, Spark
Strong experience with GCP (preferred)
working knowledge of AWS
Docker, Kubernetes (GKE/EKS)
GitHub Actions, Jenkins
Splunk, ELK, Prometheus, Grafana
Secure coding, API security, Zero Trust
Data privacy, encryption, access control
Regulatory compliance and AI governance (MRM)
10+ years of relevant experience
Experience in implementing projects
Experience in systems analysis and programming of software applications
Demonstrated Subject Matter Expert (SME) in area(s) of Applications Development
Demonstrated knowledge of client core business functions
Demonstrated leadership, project management, and development skills
Relationship and consensus building skills
Master's degree preferred
Nice to have
Experience in the financial services, especially Financial Analytics is a significant plus
Master's degree preferred
What we offer
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