Role description

We are seeking an experienced AI-SDLC Architect to help enterprise engineering teams adopt AI-native software delivery practices. This role combines architecture, engineering, and client engagement responsibilities to design, implement, and scale AI-assisted development workflows. The ideal candidate will have strong expertise in LLMs and LangGraph OR LangChain OR Crew AI frameworks, along with experience in Python, APIs, and RAG-based solutions to enable enterprise-scale AI-driven software engineering transformation.

Key Responsibilities

- Assess existing software delivery processes and redesign them using AI-native and agentic development workflows.
- Architect and implement AI-powered development solutions utilizing LangGraph OR LangChain OR Crew AI and LLM technologies.
- Define AI-SDLC reference architectures, blueprints, and implementation approaches aligned with business and engineering goals.
- Design and optimize AI-assisted software delivery workflows integrated with enterprise engineering environments.
- Develop and integrate APIs that enable seamless communication between AI platforms, development tools, and enterprise applications.
- Design and implement RAG-based solutions to enhance contextual intelligence, knowledge retrieval, and developer productivity.
- Build and deploy AI-powered engineering solutions using Python and modern development best practices.
- Collaborate closely with client engineering teams to drive adoption of AI-powered development practices.
- Provide technical leadership on AI-native SDLC transformation,



architecture reviews, and engineering best practices.
- Support governance, operational scalability, and usage management for AI-assisted engineering platforms.
- Communicate architectural decisions, implementation strategies, trade-offs, and rollout plans to technical and business stakeholders.

Required Skills

Proficient

- LangGraph OR LangChain OR Crew AI
- LLM

Intermediate

- Python
- API
- RAG

Experience

- Proven experience as a Forward Deployed Engineer, Solution Architect, Technical Architect, or Lead Engineer working directly with client engineering teams.
- Strong experience implementing AI-assisted development workflows and up-to-date software delivery practices.
- Hands-on experience with cloud-based application delivery and secure deployment models.
- Experience collaborating with architects, engineers, security teams, and business stakeholders.

Skills

Agentic AI, FastAPI, claude and devops

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

📌 AI-SDLC Architect (Telangana)
🏢 UST
📍 Telangana