Role Description
We are looking for an AI-SDLC Engineer with strong experience across AWS architecture, IAM, secure AI access, developer tooling integration, CI/CD and enterprise security controls.
The role requires someone who can operate across architecture, cloud engineering, security and software delivery, and translate technical designs into implementable enterprise solutions.
The ideal candidate will combine deep AWS and enterprise security expertise with practical experience of AI coding agents and modern software delivery, and be comfortable working directly with engineering, cloud, IAM and security teams from architecture through implementation.
Key Responsibilities
• Lead discovery of the existing SDLC, cloud, identity and security landscape and define the target architecture for AI-assisted engineering.
• Own the AWS, IAM and secure AI access architecture, including identity, connectivity, security and governance controls.
• Define how AI coding agents integrate with developer environments, repositories, CI/CD pipelines and managed AI services such as AWS Bedrock.
• Define the reference architecture, technical blueprint and reusable implementation patterns, translating architecture into clear engineering direction.
• Work hands-on with engineering teams to implement, validate and refine the solution, resolving technical, security and integration challenges.
• Establish the security, evaluation, observability, audit and delivery controls required to operate AI-assisted development safely at enterprise scale.
• Provide technical leadership across cloud, security, engineering and architecture stakeholders through design, implementation and rollout.
Required Skills And Experience
• Proven experience as a Forward Deployed Engineer, Solution Architect, Cloud Architect, Platform Architect or Lead Engineer working directly with enterprise teams.
• Strong hands-on experience designing and implementing AWS enterprise architectures.
• Robust practical knowled
📌 AI SDLC Engineer (Bengaluru)
🏢 UST
📍 Bengaluru