Technical Architect, AI driven SDLC

Job Description:

We are looking for an innovative Technical Architect to spearhead the integration of Generative AI into our Software Development Life Cycle (SDLC). You will be the go-to expert for revolutionizing how we build software, focusing on enhancing productivity and automating tasks through cutting-edge AI solutions. This role is dual-facing, requiring you to both enhance our internal capabilities and act as a trusted advisor to our customers.

Must-Haves :


Applicants must be hands-on in coding - tech stack does not matter. Java/.Net/C++.


Must have good communication skills.


Please ensure that candidates review the resume for crisp content and grammatical errors.

Must be from BE prefer CS


Must be aware of Gen-AI-in-Software-Development-Life-Cycle, Enterprise-Application-Development, RAG-Based-AI-Solutions, Software-Development, Software Development Life Cycle, Python, Enterprise Applications, Aiml.



Key Responsibilities

• Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
• Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
• Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
• Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
• Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
• Client Consulting & Advisory: Act as a subject matter expert for external customers, providing strategic consulting, assessments, and thought leadership on integrating Gen AI into their unique SDLC.
• Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps, conduct hands-on workshops, and guide their engineering teams through the transformation.

Skills and Qualifications

• 8-12 years of experience in software development, with proven experience as a Technical Lead/Architect or a similar senior engineering role.
• Demonstrated experience in designing, architecting, and building scalable, large-scale enterprise applications from the ground up.
• Strong hands-on experience with Generative AI technologies, including LLMs (e.g., GPT series, Claude, Llama, Mistral), vector databases, and embedding models.
• Demonstrated expertise in building and implementing RAG architectures.
• Practical experience in fine-tuning open-source LLMs for specific tasks. (Good to have)
• Proficiency in developing AI agents and automation workflows using frameworks like LangChain or similar.
• Deep understanding of the entire SDLC and agile methodologies.
• Proven experience in a customer-facing technical role (e.g., Solutions Architect, Technical Consultant, Pre-Sales) is highly desired.
• Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
• Excellent communication and presentation skills, with the ability to engage, influence, and build trust with both internal technical teams and external customer stakeholders.

Key Responsibilities

• Define and Build Gen AI-driven SDLC: Design and implement a new framework for software development that embeds Gen AI at its core, from requirements gathering and design to coding, testing, and deployment.
• Team Enablement and Collaboration: Work closely with various internal project teams to identify opportunities for using Gen AI in their daily workflows. Provide guidance, training, and support to help them boost productivity and efficiency.
• Develop Custom AI Tooling: Build and deploy bespoke AI solutions to automate SDLC tasks. This includes creating tools using Large Language Models (LLMs), implementing Retrieval-Augmented Generation (RAG) architectures for knowledge management, and developing intelligent AI agents to handle complex processes.
• Fine-Tune Open Source LLMs: Customize and fine-tune open-source LLMs on our internal codebases and data to create specialized models that understand our unique context and requirements. (Good to have)
• Drive Innovation: Stay at the forefront of AI advancements, continuously evaluating new tools and techniques to further enhance our development processes and solve project-specific challenges.
• Client Consulting & Advisory: Act as a subject matter expert for external customers, providing strategic consulting, assessments, and thought leadership on integrating Gen AI into their unique SDLC.
• Customer Adoption & Enablement: Partner directly with customers to design and co-deliver Gen AI-driven SDLC adoption roadmaps, conduct hands-on workshops, and guide their engineering teams through the transformation.