AI Technical Lead

Qualifications

• 12- 15+ years of exp candidates
• The ideal candidate combines strong backend engineering skills with the ability to work closely with business and global technology stakeholders
• Full stack development with strong knowledge in Python in a Unix environment
• SOA: Webservices (REST/SOAP), XML/JSON Processing, Swagger, Open Spec
• Experience with Gen AI based applications, LLM, Agentic, RAG and Vector DB
• Messaging: IBM MQ/JMS
• Source Control, Build Packaging: Git, Ivy, Maven/Gradle
• Object Oriented Analysis and Design, SOLID principles, Clean code, Refactoring, Design patterns
• Test Automation (Unit Test and/or Functional Testing)
• Solution Design and Architecture
• Distributed application design
• Cloud architectures, Performance Engineering, Scaling
• Deep familiarity with modern software development and design concepts encompassing a range of languages and platforms
• Experience building and consuming RESTful APIs
• Ability to work effectively in a global, distributed team environment

Responsibilities

• This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled orchestration into existing workflows and the development of scalable backend services that enable intelligent, conversational platforms
• Design, develop, and maintain Python-based backend services supporting NLP and chatbot solutions
• Contribute to technology transformation initiatives, driving innovation and adoption of cloud-native platforms
• Collaborate with business stakeholders to understand requirements, priorities, and objectives
• Translate business needs into robust, scalable, and secure technical solutions
• Act as a local liaison between New York and India technology teams, ensuring effective communication and delivery alignment
• Build and maintain strong, long-term partnerships with business and technology stakeholders
• Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where technology can improve business outcomes
• Support development, testing, deployment, and operational readiness of applications

Full Description

Role: Tech Lead (AI)

Location: Alpharetta, GA (3 days onsite in a week)

Position Type: Fulltime

12- 15+ years of exp candidates

Position Overview:

We are seeking a Tech Lead with hands-on experience in Python, Natural Language Processing (NLP) and Chatbot development to support technology initiatives within Wealth Management business.

This role will contribute to modernizing advisor-facing experiences by embedding AI-enabled orchestration into existing workflows and the development of scalable backend services that enable intelligent, conversational platforms.

The ideal candidate combines strong backend engineering skills with the ability to work closely with business and global technology stakeholders.

Key Responsibilities:

• Design, develop, and maintain Python-based backend services supporting NLP and chatbot solutions

• Contribute to technology transformation initiatives, driving innovation and adoption of cloud-native platforms

• Collaborate with business stakeholders to understand requirements, priorities, and objectives

• Translate business needs into robust, scalable, and secure technical solutions

• Act as a local liaison between New York and India technology teams, ensuring effective communication and delivery alignment

• Build and maintain strong, long-term partnerships with business and technology stakeholders

• Provide thought leadership on backend, NLP, and conversational AI solutions and identify opportunities where technology can improve business outcomes

• Support development, testing, deployment, and operational readiness of applications

Required Skills & Experience:

• Full stack development with strong knowledge in Python in a Unix environment.

• SOA: Webservices (REST/SOAP), XML/JSON Processing, Swagger, Open Spec

• Experience with Gen AI based applications, LLM, Agentic, RAG and Vector DB

• Messaging: IBM MQ/JMS

• Source Control, Build Packaging: Git, Ivy, Maven/Gradle

• Object Oriented Analysis and Design, SOLID principles, Clean code, Refactoring, Design patterns

• Test Automation (Unit Test and/or Functional Testing)

• Solution Design and Architecture

• Distributed application design

• Cloud architectures, Performance Engineering, Scaling

• Deep familiarity with modern software development and design concepts encompassing a range of languages and platforms.

• Experience building and consuming RESTful APIs

• Ability to work effectively in a global, distributed team environment