About the Company: With more than 24 years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries, such as Fintech, Manufacturing, AgTech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. Furthermore, we do not focus just on what we do - we also care about how we do it. So, bring your talent and ambition to make a difference. We will create a world of opportunities for you.

About the Role: Job Description:Technical Architect, Gen AI for Software Development Life Cycle (SDLC)

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.

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 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.

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.
Excellent problem-solving skills and the ability to translate complex business needs into technical solutions.
Strong communication skills to effectively collaborate with diverse technical teams.

Skills Required:Software Development Life Cycle, Gen AI, Enterprise Applications, RAG based AI solutionsRole: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 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.

Location:Bangalore / Noida / HyderabadYears Of Exp:6 to 12 yearstags:Software Development Life Cycle, Enterprise ApplicationsPlease write to careers@tavant.com if you have any questions regarding this job opportunity.Didn't find a job that fits you, or not ready to apply yet? Follow us on LinkedIn, Instagram, Facebook and X, and we will make sure you are updated on what's happening at Tavant and what we are up to.About The Company:With more than 24 years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries, such as Fintech, Manufacturing, AgTech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. Furthermore, we do not focus just on what we do - we also care about how we do it. So, bring your talent and ambition to make a difference. We will create a world of opportunities for you.

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 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.