Join Iris Software, a rapidly expanding IT services company recognized among India's Top 25 Best Workplaces in IT. We are dedicated to being our clients' most trusted technology partner and a premier destination for top industry professionals. With a global presence and a team of over 4,300 associates, we empower enterprise clients through technology-driven transformations in finance, healthcare, transportation, and professional services. Our expertise spans complex applications, cutting-edge technologies like Generative AI, Data & Analytics, Cloud, and DevOps.

At Iris, every role is a pathway to growth, embodying our belief that "Build Your Future. Own Your Journey." We cultivate an environment where your potential is recognized, your contributions are valued, and your work makes a significant impact. Through challenging projects, tailored career development, continuous learning, and mentorship, we are committed to your personal and professional advancement.

Lead architectural and design discussions for enterprise applications throughout the entire Software Development Life Cycle (SDLC). Define robust solution architectures, technical roadmaps, design patterns, and development standards.

Spearhead the adoption of Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, and AI Governance frameworks. Collaborate closely with business stakeholders, product owners, and engineering teams to translate requirements into scalable and effective solutions.

Architect cloud-native solutions on Azure, AWS, or GCP, prioritizing security, scalability, and performance. Ensure strict adherence to SDLC processes, DevOps best practices, quality gates, risk management, and compliance standards. Conduct thorough design and code reviews, and provide architectural guidance to development teams throughout project delivery. Evaluate emerging AI technologies and propose innovative solutions aligned with business objectives.

Possess a strong understanding of SDLC methodologies such as Agile, Scrum, Waterfall, and DevOps. Demonstrate hands-on experience in Application Architecture and Solution Design.

Require expertise in Generative AI, LLMs, RAG, AI Agents, Vector Databases, Prompt Engineering, and AI Governance. Must have knowledge of cloud platforms including Azure, AWS, or GCP. Familiarity with Microservices, APIs, CI/CD, and DevOps practices is essential.

A solid grasp of software quality, security, risk management, and compliance frameworks is mandatory. Excellent stakeholder management and communication skills are critical for success in this role.