West Pharmaceutical Services - Engineering Manager - Applied AI in Bangalore, भारत

Job Summary : We are looking for an Engineering Manager, D&T, Applied AI to lead the design, build, and scale-out of AI-powered digital products and platforms across the https://jobeax.com/link/8SfYlam3ZyAmF9qo leader will combine strong technical depth with calm, execution-focused people leadership to help turn AI opportunities into secure, scalable, production-ready https://jobeax.com/link/uCbslOSe0BEr08EQ role is suited for a future-oriented engineering leader who is energized by ambiguity, willing to take thoughtful risks, and able to balance speed with sound engineering https://jobeax.com/link/WdYc6z18KsQMsnbz ideal candidate can lead technical teams through fast-moving change, drive adoption of Applied AI and Generative AI in practical business use cases, and create an environment where experimentation, accountability, and composure go https://jobeax.com/link/GY1ohjJhyjZci2Gv this role will partner across enterprise functions, it should also remain grounded in hands-on engineering leadership, modern platform thinking, and a strong understanding of how to operationalize AI responsibly in a regulated business https://jobeax.com/link/haBmJmZ90U5FrRt8 Duties And Responsibilities : - Lead multiple engineering teams delivering Applied AI products, intelligent workflows, and enterprise AI capabilities from idea through production.- Translate business priorities into an actionable AI engineering roadmap with clear technical milestones, success metrics, and delivery plans.- Drive end-to-end execution across AI use cases such as copilots, knowledge assistants, intelligent automation, predictive insights, document intelligence, and agentic workflows.- Build and scale modern AI engineering capabilities spanning application engineering, data pipelines, model integration, API services, evaluation, observability, and platform reliability.- Establish an engineering culture that values experimentation, rapid prototyping, measurable learning, and disciplined production hardening.- Make thoughtful build-vs-buy decisions across foundation models, cloud AI services, orchestration frameworks, data platforms, and internal reusable components.- Partner with product, architecture, data, security, infrastructure, and business leaders to identify high-value AI opportunities and accelerate adoption.- Ensure AI solutions are secure, scalable, governable, and aligned with enterprise architecture and compliance expectations.- Lead technical decision-making across cloud-native architectures, AI application patterns, system integrations, and platform design.- Build, coach, and retain high-performing engineering talent, including engineering leads, software engineers, data engineers, and AI/ML engineers.- Develop strong engineering managers and technical leads by setting clear expectations around delivery, architecture quality, operational excellence, and people growth.- Create a high-trust team environment where individuals can move quickly, speak openly, manage risk intelligently, and stay composed under pressure.- Drive engineering excellence through CI/CD, automated testing, telemetry, cost discipline, incident learning, and reliable release practices.- Stay current with external market developments in Applied AI, LLMs, AI agents, MLOps, and enterprise AI governance, and convert that insight into pragmatic internal https://jobeax.com/link/6B2HFkTs9AhLDW2v Success Looks Like : - AI use cases move from pilot to production with measurable business value, adoption, and operational reliability.- Engineering teams deliver at a sustainable pace with stronger clarity, ownership, and technical quality.- The organization builds reusable AI patterns rather than isolated proofs of concept.- Leaders trust the team to move fast without losing control of security, compliance, or platform stability.- Teams are more confident operating in ambiguity and better able to balance innovation with delivery https://jobeax.com/link/kWmF9sUC6SrLUZmK Qualifications : - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.- 10+ years of experience in software engineering, platform engineering, data engineering, or AI/ML engineering.- 3+ years of people leadership experience managing engineering teams in a product, platform, or enterprise technology environment.- Experience delivering production-grade cloud-native solutions on Azure or a comparable hyperscale cloud platform.- Experience leading engineering teams that build enterprise applications, APIs, data services, and scalable distributed systems.- Demonstrated experience applying AI/ML or Generative AI to real business problems beyond experimentation alone.- Strong experience with agile delivery, engineering planning, stakeholder management, and cross-functional execution.- Strong communication skills with the ability to align technical teams and senior business stakeholders around priorities and https://jobeax.com/link/xNHGcSBSJF8lIgsH Knowledge, Skills And Abilities : - Experience building Applied AI solutions using LLMs, retrieval-augmented generation, vector search, agentic workflows, model evaluation, and prompt or workflow orchestration.- Experience with enterprise data and analytics platforms such as Microsoft Fabric, Azure Data Factory, Databricks, Synapse, or similar technologies.- Familiarity with MLOps and LLMOps practices including deployment pipelines, experiment tracking, model monitoring, offline and online evaluation, and observability.- Experience with AI governance, model risk controls, privacy, bias awareness, and human-in-the-loop operating models.- Experience in regulated industries such as healthcare, pharmaceuticals, medical devices, or manufacturing.- Exposure to connected systems, IoT, digital manufacturing, or edge-enabled use cases is a plus.- Experience hiring and growing teams in the Bangalore market, including building strong local technical https://jobeax.com/link/Y2oVcgiFLT9nWBba Profile : We Are Looking For a Leader Who Is : - Dynamic in execution and able to convert emerging ideas into focused action.- Future-looking and energized by the practical possibilities of AI, not just the hype.- Comfortable taking smart, informed risks while keeping teams grounded and accountable.- Composed under pressure and effective in fast-changing, high-ambiguity environments.- Technically credible enough to challenge architecture, guide design choices, and coach engineers deeply.- Strong at leading managers, senior engineers, and cross-functional teams without creating unnecessary process overhead.- Curious, humble, and persistent, with a strong bias toward learning and continuous https://jobeax.com/link/ipwaoXBPhieyz4ME This Role Matters : This role will help shape how D&T uses Applied AI to improve speed, quality, decision-making, and user experience across the https://jobeax.com/link/EunHvidtIJM4Q8ah is not a pure research role and not a traditional delivery manager https://jobeax.com/link/jjAXrlkFPEfSVYNG is a hands-on engineering leadership role focused on turning AI potential into durable business capability through strong teams, sound architecture, and bold but responsible execution. (ref:hirist.tech)