What are the responsibilities and job description for the Technical Architect position at Tavant?
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 revolutionising 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.
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.
