Application Development Manager
Job Description
Key Responsibilities
1. Application Development & Solution Architecture
Lead the end-to-end design, development, and deployment of full-stack application solutions to meet complex business requirements.
Architect robust, scalable, and enterprise-grade applications using modern frameworks such as React.js, Node.js, Java, and Python.
Collaborate with business stakeholders to develop Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs) that demonstrate solution feasibility.
Ensure seamless integration of applications with tools and platforms, enabling cohesive and efficient workflows.
2. Workflow & Process Automation
Architect and implement workflow automation solutions to optimize complex business processes and enhance operational efficiency.
Standardize and lead workflow orchestration strategies across domains like Digital Banking, CRM, Cards, Credit Origination, and Compliance.
Design and implement automation frameworks leveraging tools like Tosca, Appium, Jenkins, and Jira, ensuring efficiency and scalability.
Lead multi-country workflow automation rollouts, integrating automated solutions seamlessly across regions.
Identify automation gaps, develop solutions, and continuously innovate to streamline processes while reducing manual effort.
3. AI/ML and GenAI App Solutions
Design and implement Generative AI-powered solutions using tools such as Azure OpenAI, Microsoft AI Studio, and Microsoft Copilot Stack.
Fine-tune and integrate large language models (LLMs) to meet client-specific needs, enhancing workflows and user productivity.
Develop AI/ML applications to automate and optimize engineering, testing, and data provisioning processes.
Deliver AI-driven Proof-of-Concepts (PoCs) to showcase the transformative potential of Generative AI in real-world business scenarios.
4. Leadership & Collaboration
Mentor and upskill teams in workflow automation strategies, application development frameworks, and AI technologies.
Collaborate with project management to design and implement enterprise-level architecture solutions that align with organizational goals.
Drive the adoption of best practices, standards, and modern automation techniques across engineering teams.
Act as a liaison between business stakeholders and technical teams, ensuring alignment with project goals and timelines.
5. Innovation & Strategic Initiatives
Spearhead digital transformation initiatives by developing solutions that integrate modern technologies like AI, ML, and automation frameworks.
Innovate reusable workflows, frameworks, and components to accelerate development and automation across projects.
Research emerging technologies and propose strategies for integrating AI, ML, and hyperscaler cloud platforms like Azure and AWS to meet business needs.
________________________________________
Required Skills & Experience
Proven experience as an Application Development Lead, Workflow & Process Automation Architect, or Solution Architect.
Strong expertise in application development frameworks: React.js, Node.js, Java, and Python.
Hands-on experience in architecting and implementing workflow and process automation solutions with tools like Tosca, Appium, Jenkins, and Jira.
Expertise in AI/ML and GenAI solutions, with tools like Azure OpenAI, Microsoft AI Studio, and Copilot Stack.
Experience with hyperscaler cloud platforms such as Azure, AWS, and associated AI tools.
Ability to design PoCs/MVPs, develop strategies for workflow optimization, and deliver scalable solutions.
Strong leadership skills, including mentoring, stakeholder management, and driving technology adoption.
Experience with multi-region workflow automation deployments and enterprise-level integrations.
________________________________________
Nice-to-Have Skills
Certifications in cloud platforms (e.g., AWS Solution Architect, Azure AI Engineer) or automation frameworks.
Experience with Kubernetes, workflow orchestration tools, and data engineering.
Exposure to building AI/ML pipelines or fine-tuning AI models for enterprise solutions.
________________________________________
Educational Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
Professional certifications in AI/ML, cloud platforms, or workflow automation tools are a plus.
Job Description
Key Responsibilities
1. Application Development & Solution Architecture
Lead the end-to-end design, development, and deployment of full-stack application solutions to meet complex business requirements.
Architect robust, scalable, and enterprise-grade applications using modern frameworks such as React.js, Node.js, Java, and Python.
Collaborate with business stakeholders to develop Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs) that demonstrate solution feasibility.
Ensure seamless integration of applications with tools and platforms, enabling cohesive and efficient workflows.
2. Workflow & Process Automation
Architect and implement workflow automation solutions to optimize complex business processes and enhance operational efficiency.
Standardize and lead workflow orchestration strategies across domains like Digital Banking, CRM, Cards, Credit Origination, and Compliance.
Design and implement automation frameworks leveraging tools like Tosca, Appium, Jenkins, and Jira, ensuring efficiency and scalability.
Lead multi-country workflow automation rollouts, integrating automated solutions seamlessly across regions.
Identify automation gaps, develop solutions, and continuously innovate to streamline processes while reducing manual effort.
3. AI/ML and GenAI App Solutions
Design and implement Generative AI-powered solutions using tools such as Azure OpenAI, Microsoft AI Studio, and Microsoft Copilot Stack.
Fine-tune and integrate large language models (LLMs) to meet client-specific needs, enhancing workflows and user productivity.
Develop AI/ML applications to automate and optimize engineering, testing, and data provisioning processes.
Deliver AI-driven Proof-of-Concepts (PoCs) to showcase the transformative potential of Generative AI in real-world business scenarios.
4. Leadership & Collaboration
Mentor and upskill teams in workflow automation strategies, application development frameworks, and AI technologies.
Collaborate with project management to design and implement enterprise-level architecture solutions that align with organizational goals.
Drive the adoption of best practices, standards, and modern automation techniques across engineering teams.
Act as a liaison between business stakeholders and technical teams, ensuring alignment with project goals and timelines.
5. Innovation & Strategic Initiatives
Spearhead digital transformation initiatives by developing solutions that integrate modern technologies like AI, ML, and automation frameworks.
Innovate reusable workflows, frameworks, and components to accelerate development and automation across projects.
Research emerging technologies and propose strategies for integrating AI, ML, and hyperscaler cloud platforms like Azure and AWS to meet business needs.
________________________________________
Required Skills & Experience
Proven experience as an Application Development Lead, Workflow & Process Automation Architect, or Solution Architect.
Strong expertise in application development frameworks: React.js, Node.js, Java, and Python.
Hands-on experience in architecting and implementing workflow and process automation solutions with tools like Tosca, Appium, Jenkins, and Jira.
Expertise in AI/ML and GenAI solutions, with tools like Azure OpenAI, Microsoft AI Studio, and Copilot Stack.
Experience with hyperscaler cloud platforms such as Azure, AWS, and associated AI tools.
Ability to design PoCs/MVPs, develop strategies for workflow optimization, and deliver scalable solutions.
Strong leadership skills, including mentoring, stakeholder management, and driving technology adoption.
Experience with multi-region workflow automation deployments and enterprise-level integrations.
________________________________________
Nice-to-Have Skills
Certifications in cloud platforms (e.g., AWS Solution Architect, Azure AI Engineer) or automation frameworks.
Experience with Kubernetes, workflow orchestration tools, and data engineering.
Exposure to building AI/ML pipelines or fine-tuning AI models for enterprise solutions.
________________________________________
Educational Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field.
Professional certifications in AI/ML, cloud platforms, or workflow automation tools are a plus.