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

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