PMT Project Manager

Key Responsibilities
Lead the end-to-end delivery of complex software solutions using Agile Scrum methodologies, augmented by AI tools and automation. Spearhead using Generative AI based tools into software development workflows code generation, documentation, testing). Project tracking, status reporting and task management Drive sprint planning, backlog grooming, daily stand-ups, and retrospectives with efficiency-enhancing AI support tools. Identify technical and organizational risks early and resolve them proactively. Serve as a change agent and coach in the adoption of AI in Agile environments. Collaborate with engineering team and stakeholders to define project scope, goals, and deliverables. Act as a bridge between technical teams and stakeholders, translating business requirements into technical solutions. Monitoring project progress, tracking key metrics, and ensuring timely delivery of milestones. Stake holder and escalations management Required Qualifications & Experience 3+ years in Scrum projects and cross-functional teams. 10+ year in the software development industry including minimum 3 years as a Software engineer in Java, Spring Boot(developer) Familiarity with project management tools and tracking tools like Jira Experience in leading Cloud-native solutions / Java / microservices based solution development teams Experience managing AI driven projects, particularly in integrating LLMs or generative AI into solutions or developer workflows will be an advantage Core Skills Primary: Technical PM with Java FSD Secondary : Cloud, Gen AI Project and Team management Sound understanding of Software Development, complete SDLC and DevOps Go-Getter mindset with curiosity and openness to experiment with AI-driven ways of working. Strong stakeholder engagement, decision-making, and conflict resolution abilities. Basic knowledge in a CSP (AWS / GCP / Azure) and GenAI fundamentals Ability to learn new technologies Ability to work under tight deadlines and pressure Strong analytical / problem-solving skills for complex scenarios Excellent Team player Strong collaboration and facilitation skills, especially in cross-discipline teams that include AI/ML professionals. Good communication skills, especially in distilling technical AI concepts for non-technical stakeholders.