Software Scientist AI in SDLC

Role Overview: You will be responsible for owning and leading the development of the Nous AI in SDLC platform, driving innovation and client adoption. Your role will involve designing, developing, and deploying AI-driven solutions to enhance software development lifecycle efficiency and automation. Additionally, you will be building quick prototypes and proof-of-concepts to validate ideas and accelerate AI integration within DevOps and SDLC pipelines. Collaboration with cross-functional engineering teams to identify opportunities for AI augmentation in coding, testing, deployment, and monitoring processes will be a key aspect of your role. Moreover, you will be architecting intelligent systems and AI agents to automate repetitive development tasks and enable predictive decision-making. Your responsibilities will also include continuously exploring and experimenting with emerging AI models, frameworks, and toolchains relevant to software engineering. Ensuring production-grade deployment of AI components with high scalability, observability, and maintainability will be crucial. As a thought leader in applying AI to software engineering practices, you will contribute to the evolution of intelligent development ecosystems. Key Responsibilities: - Own and lead the development of the Nous AI in SDLC platform - Design, develop, and deploy AI-driven solutions for enhancing software development lifecycle efficiency - Build quick prototypes and proof-of-concepts to accelerate AI integration within DevOps and SDLC pipelines - Collaborate with cross-functional engineering teams to identify opportunities for AI augmentation in coding, testing, deployment, and monitoring processes - Architect intelligent systems and AI agents for automating repetitive development tasks - Continuously explore and experiment with emerging AI models, frameworks, and toolchains relevant to software engineering - Ensure production-grade deployment of AI components with high scalability, observability, and maintainability - Act as a thought leader in applying AI to software engineering practices Qualifications Required: - 10+ years of experience in software or product development with applied AI expertise - Strong proficiency in Python, Java, or similar programming languages with hands-on ML or LLM model integration experience - Experience in developing and deploying AI agents or intelligent automation tools in production environments - Solid understanding of DevOps, CI/CD, and software lifecycle processes enhanced by AI/ML techniques - Ability to rapidly build and demonstrate POCs showcasing AI impact on development efficiency - Strong analytical, problem-solving, and articulation skills with a passion for experimentation and innovation - Self-driven, curious, and adaptable mindset with the ability to lead end-to-end AI product development,