IT Solutions Management

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Location:
Bangalore,IND

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Techno‑Functional Specialist (AI‑Driven PPM & Portfolio Enablement)

We are seeking a hands-on techno-functional specialist to drive AI-enabled improvements across CSP services-portfolio/demand management, execution governance (SDLC), tool adoption, compliance, and metrics/KPIs.

This specialist will design, build, and integrate AI features-such as predictive analytics, automated task assignment, and intelligent chatbots-into project management software to optimize workflows, mitigate risks, and boost overall team efficiency.

• Enable AI-assisted intake, assessment, estimation support, capacity insights, and portfolio prioritization support.
• Implement AI-enabled execution governance including SDLC controls/phase exits, compliance visibility, and audit readiness practices.
• Hands-on experience on Atlassian Jira/Confluece and knowledge on Smartsheet, Asana, MSPe, ServiceNow PPM and similar tools.
• Design AI-driven automations: dashboards, status summaries, data quality checks, workflow optimizations, and self-service insights, plus Atlassian Jira/Confluence for documentation + workflow management and reporting.
• Prompt engineering + AI agents (core): write excellent prompts, create reusable prompt libraries, and build/deploy agents to automate repetitive CSP workflows and decision support.
• Partner with stakeholders to drive adoption through training, documentation, and strong communication.

• Translate business requirements into technical specifications and system architectures for AI-driven project management capabilities.
• Design and integrate Large Language Models (LLMs), machine learning models, and Agentic AI into existing project environments to automate scheduling, risk identification, and resource allocation.
• Evaluate the technical feasibility of proposed AI features and recommend the optimal technology stack

• Implement and deliver the approved solutions
• Work with GIS Data team to ensure data availability, quality, and governance required to train accurate, domain-specific AI models

• Lead the end-to-end execution of AI initiatives, maintaining sprint cycles, backlogs, and milestone tracking.
• Act as the technical point of contact AI for assigned product family coordinating multidisciplinary teams of developers, data engineers, and domain experts.
• Monitor system reliability, model observability, and overall performance metrics

• 10+ years experience in techno-functional roles spanning portfolio/PPM/PMO/delivery enablement.
• Strong experience with PPM/ALM tools (Smartsheet/Asana/MSPe/ServiceNow PPM) and Atlassian Jira/Confluence.
• Working knowledge of SDLC governance/controls, compliance, and KPI/reporting practices.
• Demonstrated hands-on capability with GenAI tools, prompting, and agent-based automation.
• Hands on experience with copilot, claude and other AI tools.
• Excellent written and verbal communication.

• Tool integration experience across documentation → backlog → execution → reporting flows.
• Reporting/analytics experience for productivity, compliance, and operational insights.
• Good to have Python, SQL and programming background.