Software Engineering Manager
Takeda · IND - Bengaluru
Takeda · IND - Bengaluru
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description ServiceNow Agentic AI Senior Engineer The Future Begins Here At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet. Bangalore, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement. At Takeda’s ICC we Unite in Diversity Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team. The Opportunity We are seeking a ServiceNow Agentic AI Senior Engineer to design, build, customize, and optimize AI-powered agents and intelligent workflows on the ServiceNow platform. This role will focus heavily on: • Now Assist • Agentic AI capabilities • AI Agent Studio / AI Agent frameworks • Prompt engineering • AI orchestration • Conversational experiences • Enterprise AI integrations The ideal candidate combines strong ServiceNow platform engineering expertise with practical experience implementing AI-driven workflows and autonomous/semi-autonomous AI agents. You will work closely with Platform Architects, Enterprise Architects, Product Owners, Security teams, and business stakeholders to deliver scalable, governed, and enterprise-ready AI solutions. Responsibilities AI Agent Engineering • Design, configure, and customize AI Agents within the ServiceNow platform. • Build agentic workflows capable of:• reasoning • task execution • contextual decision-making • workflow orchestration • Configure and extend:• Now Assist capabilities • AI Agent Studio • AI-powered skills and actions • conversational experiences Now Assist Development • Implement and customize:• Now Assist for ITSM • Now Assist for HRSD • Now Assist for CSM • Now Assist Skill Kits • Configure summarization, content generation, recommendations, and intelligent assistance capabilities. • Fine-tune prompts and AI interactions for business-specific use cases. Prompt Engineering & AI Orchestration • Develop and optimize prompts for enterprise workflows. • Design AI orchestration flows involving:• tools • APIs • workflows • external systems • Build human-in-the-loop AI experiences where approvals and compliance controls are required. • Improve response quality, contextual relevance, and AI usability. Platform Development & Integration • Develop scalable ServiceNow solutions using:• Flow Designer • IntegrationHub • Script Includes • Business Rules • APIs • Integrate ServiceNow AI capabilities with external LLM platforms where required:• OpenAI • Azure OpenAI • enterprise AI gateways • Develop secure and performant AI integrations. AI Governance & Responsible AI • Ensure AI implementations align with:• Responsible AI principles • enterprise governance • security policies • compliance requirements (GxP, SOX) • Implement:• auditability • explainability • role-based AI controls • human oversight mechanisms Innovation & Emerging Technologies • Evaluate emerging ServiceNow AI capabilities and roadmap features. • Contribute to enterprise AI strategy and experimentation initiatives. • Identify opportunities to improve productivity through AI automation. Performance & Optimization • Optimize AI agent performance, orchestration efficiency, and workflow execution. • Troubleshoot AI response quality and workflow issues. • Monitor AI solution adoption and effectiveness. Collaboration & Leadership • Collaborate with architects, developers, platform teams, and business stakeholders. • Mentor junior developers on AI development best practices. • Participate in architecture reviews and AI governance discussions. Skills and Qualifications • Bachelor’s degree or higher in Computer Science/Information technology; or relevant work experience. • 6+ years of IT experien