AI-Native Software Engineering Lead Agentic Development Expert

We are looking for an experienced hands-on AI-Native Software Engineering Lead to drive the transformation of software development practices within a complex enterprise banking environment.

The objective is to fundamentally modernize the Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC) by introducing AI-powered coding agents autonomous engineering workflows and AI-first development methodologies.

This role is not focused on building traditional AI applications or chatbots. Instead you will work directly with engineering teams to demonstrate how AI agents can automate substantial parts of the software development process from requirements analysis to implementation testing and deployment.

• Drive the adoption of AI-native software engineering practices within established enterprise development teams.

• Design implement and optimize agentic development workflows using AI coding agents and LLM-powered automation.

• Automate engineering activities including requirements analysis codebase exploration solution design code generation testing code reviews and deployment preparation.

• Integrate AI-powered development tools particularly GitHub Copilot and autonomous coding agents into existing engineering environments.

• Transform traditional SDLC processes into AI-first workflows with clearly defined human oversight and quality gates.

• Develop practical proofs of concept and implement AI-driven automation within existing enterprise applications and complex codebases.

• Establish governance mechanisms covering AI-generated code validation traceability approval workflows and accountability.

• Collaborate closely with software engineers architects DevOps specialists and platform teams.

• Mentor and coach development teams in adopting AI-assisted and increasingly autonomous engineering practices.

• Conduct technical workshops demonstrations and knowledge-sharing sessions to accelerate AI adoption.

• Extensive professional experience in software engineering including designing developing testing and maintaining enterprise applications.

• Proven hands-on experience with AI-powered software development tools and coding agents preferably GitHub Copilot.

• Practical experience with LLMs Generative AI tool/function calling RAG structured extraction and agentic workflows.

• Demonstrated experience implementing AI-powered automation or agentic workflows within existing large-scale software projects rather than exclusively standalone prototypes.

• Strong understanding of the complete SDLC and PDLC including requirements engineering software architecture development testing deployment and maintenance.

• Experience working with complex enterprise codebases established architectures and mature engineering processes.

• Solid knowledge of DevOps practices CI/CD pipelines and engineering automation.

• Ability to independently develop proofs of concept and translate experimental approaches into practical engineering solutions.

• Experience mentoring software engineers and introducing new development tools practices and methodologies.

• Excellent communication consulting and stakeholder management skills.

• A pragmatic hands-on mindset with the ability to work independently and collaboratively in dynamic environments.