Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Large Language Models (LLMs)

Positive to have skills : NA

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Custom Software Engineer, a typical day involves designing and developing tailored software components that integrate seamlessly within larger systems or applications. The role requires continuous collaboration with various stakeholders to understand business requirements and translate them into efficient, scalable solutions. The work environment embraces modern development frameworks and agile methodologies, fostering iterative progress and adaptability. Throughout the day, the engineer focuses on enhancing existing functionalities and ensuring that the software meets performance and quality standards, contributing to the overall success of the project and organization.

Lead enterprise AI/GenAI training programs to build scalable talent capability. Drive AI adoption through curriculum design,



hands-on delivery, and trainer enablement aligned to business needs.

Key Responsibilities

Deliver instructor-led trainings on AI, GenAI, LLMs, Prompt Engineering, RAG, and Agentic AI

Design structured learning paths (foundation advanced) and develop course content

Lead Train-the-Trainer (TTT) programs to scale instructor base

Drive AI capability building and adoption across business units

Track learning effectiveness (feedback, completion, impact)

Collaborate with stakeholders to identify skill gaps and define training programs

Embed Responsible AI and governance principles in all trainings

Skills Required

Strong expertise in GenAI, LLMs, Prompt Engineering, RAG

Hands-on experience with AI tools (OpenAI, Azure AI, Vertex AI, LangChain)

Proven training, facilitation, and curriculum design capability

Excellent communication and stakeholder management

Experience

8–12+ years overall experience

3–5+ years in AI/GenAI training or development

L7 Expectations

Owns large-scale training programs and curriculum roadmap

Drives enterprise-wide AI capability building

Acts as SME + Trainer + Program Lead

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru