Engineering Manager

• Lead the design and delivery of layered defense architecture for enterprise AI/GenAI systems
• Focus on securing AI across data, model, and application layers
• Drive end-to-end AI security programs
• Define and implement AI guardrails, access control and governance frameworks
• Drive AI threat modelling and adversarial testing strategies across lifecycle
• Oversee AI red teaming programs and continuous testing of AI systems
• Engage with stakeholders to assess AI risk exposure and recommend mitigation strategies
• Provide architectural guidance for securing APIs, model endpoints and AI pipelines

Manager – Cyber Architecture, OT and Engineering, Cloud Security

• Build detailed plans that define scope, milestones, dependencies and deliverables
• Prioritize work to focus on the activities that drive the greatest impact
• Manage risks proactively by identifying potential issues early and implementing mitigation strategies
• Allocate resources effectively to ensure the right skills are applied at the right time, including AI, cloud and industry expertise
• Coordinate cross-functional teams including technical, account and partner roles
• Drive collaboration to maintain alignment and smooth handoffs across groups
• Coach and support team members to achieve high performance while meeting deadlines
• Facilitate governance and cadence meetings to keep everyone informed and accountable
• Track progress against milestones and adapt plans as priorities shift
• Ensure SLA adherence and consistently meet or exceed customer expectations
• Manage budgets and performance metrics to optimize delivery quality and efficiency
• Resolve issues decisively to keep projects on track and maintain customer confidence
• Act as primary point of contact for delivery with customers and internal stakeholders
• Translate complex project information into clear, actionable updates
• Provide insights and guidance to inform decision-making and maintain alignment
• Foster trust and transparency through consistent, professional communication
• Strengthen customer relationships through proactive engagement and responsiveness
• Support a “one team with the customer” mindset that aligns priorities across all parties
• Embed with customer teams when needed to enhance visibility and add tangible value
• Represent Kyndryl with credibility and integrity in every interaction

Project Manager – Agile Software

• Lead a team of Machine Learning Engineers and Data Scientists
• Responsible for building, deploying, and operating large-scale ML systems
• Shape production ML systems in areas such as user behavioral modeling, fraud and abuse detection, and lifecycle engagement
• Lead the development of ML platform capabilities across the full lifecycle
• Build and evolve core systems for ML pipelines, experimentation, model versioning/promotion, deployment, and observability
• Stay close to the work—review designs, guide modeling approaches, and participate in key technical decisions
• Work closely with Product, Engineering, and business teams to shape problem statements
• Establish strong planning, tracking, and risk management practices
• Own the bar for model performance, data quality, experimentation rigor, and system reliability in production
• Hire, mentor, and manage a team of MLEs and Data Scientists; provide clear goals, regular feedback, and career development.

Manager, Machine Learning Engineering, Data Science

• Lead, mentor, and grow a team of data engineers
• Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
• Hire, onboard, and develop a high-performing team
• Collaborate with cross-functional teams to understand requirements and deliver data products
• Drive best practices in data engineering and ensure high data quality
• Optimize performance and cost efficiency of data infrastructure
• Own the end-to-end vision and strategic roadmap for various projects

• Lead the design, development, deployment, and scaling of AI/ML and Generative AI solutions across SSDA within GDIA.
• Define and govern AI project lifecycles — from data acquisition and experimentation to production deployment, monitoring, and continuous optimisation.
• Lead AI engineers and data scientists, establish best practices, and drive enterprise-grade AI adoption using modern MLOps and LLMOps principles.
• Collaborate with business stakeholders, product leaders, engineering teams, and enterprise architects to ensure AI investments are aligned with measurable business outcomes.

AI Engineering Manager

• The Industrial Engineering Manager will lead the IE & Technology function, driving product feasibility, process optimization, cost reduction, capacity planning, and strategic manufacturing initiatives.
• The role will partner closely with Plant Management and cross-functional teams to improve operational efficiency, support new product introduction, and enable long-term plant growth and footprint planning.
• Lead and manage the Industrial Engineering & Technology team, including talent development and capability building.
• Drive product feasibility studies, risk assessments, and support new product development initiatives.
• Manage RFQ activities, Initial Order Process (IOP), and manufacturing cost estimations.
• Develop machine concepts, investment proposals, and project/product profitability analysis (PPA).
• Lead strategic plant footprint planning and long-term capacity planning in collaboration with Plant and Division Management.
• Drive process optimization, productivity improvement, and cost reduction initiatives across manufacturing operations.
• Manage budgeting activities including machine tariff calculations, MRP planning, and master data preparation.
• Ensure creation and maintenance of SAP master data including BOMs, Routings, Work Centers, and production structures.
• Oversee capacity management and RCNP (Rough Capacity Network Planning).
• Utilize Power BI and data analytics tools for management reporting and decision-making.
• Drive Value Stream Management through accurate manufacturing data analysis and machine allocation tools.
• Lead project management, product changes, and process change management initiatives.

Manager – Industrial Engineering

• Experience of handling Industrialization & New Product Development projects
• Lead in developing new machine, processes & installation etc.
• Know-how of types of sensors, its application and knowledge of pneumatics required.
• Participate in cross functional team to optimize manufacturing process and Process Engg for new product development projects.
• Preparation of process documents PFMEA, PFD, CP & WI, driving process parameter through process validation.
• Productivity improvement through cycle time reduction, process capability study Cp&Cpk.
• Implementation of lean manufacturing in shopfloor.
• Initiating & executing Low-Cost Automation, VAVE projects & Kaizen.

Assistant Manager – Process Engineering

• Manage and grow a team of 5+ data engineers.
• Drive architectural decisions across the platform, with particular depth in Data Sharing and Semantic Layer design.
• Guide the team through complex technical challenges, including Semantic Modeling, data mesh patterns, and platform reliability.
• Lead efforts to improve query performance and platform efficiency.
• Collaborate with product managers and architects to define and deliver the data platform roadmap.
• Own the operational posture of the platform — monitoring, alerting, incident response.
• Define engineering best practices and champion shift-left data governance, including data quality, lineage, and access control.

Engineering Manager, Data Platform

• Run multiple engineering teams delivering Veryon's MRO solutions
• Guide legacy modernization and incremental re-architecture
• Assess and raise talent rigorously
• Collaborate closely with Product to influence the roadmap
• Establish AI tooling as standard practice
• Lead architecture and platform design decisions
• Take direct ownership of production support including Tier-3 escalations and root cause analysis

Senior Engineering Manager

• Define and implement product strategy and roadmap to improve onboarding experiences using AI-driven insights
• Translate customer needs and business goals into clear, actionable product requirements
• Partner with engineering, design, and research teams to build scalable, user-centric AI-first workflows
• Drive the full product lifecycle from discovery through launch and iteration, using data and experimentation to optimize outcomes
• Champion cross-functional collaboration and act as the customer advocate in all product decisions

Engineering Product Manager

• Leading the development and implementation of firmware for connected physical products and IoT solutions
• Managing product lifecycle from ideation to deployment, confirming alignment with manufacturing strategies
• Conducting feasibility studies and market trend analysis to inform product positioning and strategy
• Overseeing operations management and supply chain processes to optimize production efficiency
• Utilizing lean manufacturing and Six Sigma methodologies to enhance product development processes
• Collaborating with cross-functional teams to drive innovation and embrace emerging technologies
• Developing go-to-market strategies and managing product roadmaps to achieve growth objectives
• Providing coaching and feedback to team members to foster professional development and performance
• Building and maintaining relationships with stakeholders to support product ideation and execution
• Confirming compliance with industry standards and regulations within product development activities

Firmware Engineering Manager – Connected Physical Products, IoT

• Leading the development and implementation of innovative product strategies for connected physical products and IoT solutions
• Managing cross-functional teams to drive product ideation, development, and lifecycle management
• Utilizing advanced analytical thinking to conduct feasibility studies and market trend analysis
• Overseeing the integration of emerging technologies into product development processes
• Guiding the application of lean manufacturing principles and Six Sigma methodologies to optimize production efficiency
• Directing the creation and execution of go-to-market strategies to enhance product positioning and market penetration
• Collaborating with stakeholders to align product roadmaps with business objectives and client needs
• Conducting manufacturing cost analysis to support strategic decision-making and growth management
• Promoting a culture of inclusion and teamwork to foster a high-performing and diverse team environment
• Validating compliance with industry standards and regulations within product development and manufacturing operations

Senior Manager – Firmware Engineering, Connected Physical Products, IoT

• Leads a team of data engineers and AI specialists to deliver scalable, secure, and compliant data solutions that power healthcare SaaS applications.
• Drives innovation in AI/ML, data architecture, and analytics to support strategic business outcomes.
• Collaborates cross-functionally to integrate intelligent data capabilities into products.
• Ensures alignment with healthcare compliance standards.

Engineering Manager – AI & Data Engineering

• Managing product lifecycle processes to enhance operational efficiency and product quality
• Developing and implementing product strategies that align with market trends and client needs
• Conducting feasibility studies and manufacturing cost analysis to support product development initiatives
• Utilizing lean manufacturing and Six Sigma methodologies to optimize production processes
• Collaborating with cross-functional teams to drive product ideation and roadmap execution
• Overseeing procurement and supply chain management to validate timely delivery of materials and components
• Leading process documentation and simulation efforts to improve operational workflows
• Analyzing market trends and emerging technologies to inform product positioning and go-to-market strategies
• Supporting project resource management to align with organizational goals and client expectations
• Embracing change and fostering a culture of innovation and continuous improvement within the team

Senior Associate, Digital Engineering Product Lifecycle Management

• Provide strategic technical leadership and hands-on expertise to build industry-leading products.
• Drive large-scale transformations that maximize value for Ford, Dealers, and customers.
• Champion Lean, Agile, and Human-Centered Design (HCD) practices to deliver cutting-edge solutions.
• Collaborate closely with Product Owners and Designers across the ordering ecosystem.
• Architect and develop sophisticated tools that improve forecasting accuracy and streamline order generation.

Software Engineering Manager

• Drive enterprise adoption of CI/CD, Infrastructure-as-Code (IaC), and automation practices
• Define and execute DevOps roadmap aligned with product and platform strategies
• Design and manage scalable cloud infrastructure across AWS/Azure environments
• Oversee containerized deployments using Kubernetes/EKS/Docker
• Ensure high availability, performance, and resilience of platform services
• Lead and mentor high-performing DevOps/SRE teams
• Establish clear accountability, roles, and delivery ownership
• Foster a strong engineering culture focused on automation, quality, and innovation
• Evaluate and introduce new tools and technologies to optimize DevOps capabilities
• Drive cost optimization (FinOps), automation, and efficiency improvements
• Enable DevSecOps practices, embedding security into the delivery lifecycle
• Partner with engineering, product, security, and operations teams

Manager, Software Engineering

• Responsible for designing, building, testing and implementing network security systems within an organisation’s IT network- On Prem & Cloud
• Identify requirements, design document and implement technical solutions for scalable and resilient network architecture
• Plan, design, deploy, configure, integrate, and manage platform protection controls
• Clearly demonstrates proven extensive abilities with leveraging creative thinking and problem-solving skills

Manager – Cyber Architecture, OT and Engineering, Infrastructure Security

• Own the project control activity globally and drive consistent functional specifications and common global processes for projects implementation.
• Serves as the technical leader/manager to develop a scope of work and plan schedule and monitor engineering activities for customer projects.
• Provide technical leadership and interface with Proposal Management, Cost Estimating, Partners, Customers, GE Product Engineering, Sourcing, Engineering sub-contractors.
• Developing specialized knowledge in their discipline.
• Serves as best practice/quality resource.
• Act as a resource for colleagues with less experience.

Senior Project Engineering Manager

• Own the project control activity globally and drive consistent functional specifications and common global processes for projects implementation.
• Activities that are conducted to better understand or ultimately meet the expectations of the customer.
• Impacts approaches, projects and programs in the functional area or affected business organization and ways of working.
• Serves as the technical leader/manager to develop a scope of work and plan schedule and monitor engineering activities for customer projects.
• Provide technical leadership and interface with Proposal Management, Cost Estimating, Partners, Customers, GE Product Engineering, Sourcing, Engineering sub-contractors.
• Developing specialized knowledge in their discipline.
• Contributes towards strategy and policy development, and ensure delivery within area of responsibility.
• Uses judgment to make decisions or solve moderately complex tasks or problems in areas of operational/product management, manufacturing, technology or engineering.

• Own the technical strategy and architecture for the POS Application Platform, acting as the domain CTO for everything that runs on our POS devices.
• Build and govern the four core platform pillars across the organisation: developer experience (tools, libraries, SDKs), platform reliability (observability, uptime, quality standards), foundational frameworks (architecture, coding standards, testing and release pipelines), and squad adoption (driving uptake of platform tooling across all embedded POS engineers).
• Define and enforce engineering standards across all POS device types and OEM manufacturers, ensuring architectural consistency and quality across a heterogeneous device fleet.
• Functionally lead POS engineers embedded across Payments, Onboarding, VAS, Savings, and Loans squads — setting the bar for engineering quality and providing the platform layer above all of them.
• Own POS observability end-to-end: monitoring, alerting, and incident response frameworks that ensure platform health across all devices and squads.
• Drive the architecture for how Moniepoint supports multiple POS device types, including defining how new devices are onboarded, governed, and integrated with the platform.
• Collaborate with OEM partners and the POS hardware team when new device types are introduced, ensuring the application layer is ready to support them from day one.
• Write and review code directly — this role expects 40 to 60 percent hands-on engineering time. You will set the technical standard, not just the technical direction.
• Build and scale the POS platform team, including hiring, mentoring, and structuring for growth as the platform expands internationally.
• Translate platform decisions into business impact, working closely with Product, Payments, and Business leadership across markets.
• Establish and continuously improve engineering processes, tooling standards, CI/CD pipelines, and developer productivity metrics across the POS engineering community.

Engineering Manager jobs in India

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Manager – Cyber Architecture, OT and Engineering, Cloud Security

Project Manager – Agile Software

Manager, Machine Learning Engineering, Data Science

Engineering Manager

AI Engineering Manager

Manager – Industrial Engineering

Assistant Manager – Process Engineering

Engineering Manager, Data Platform

Senior Engineering Manager

Engineering Product Manager

Firmware Engineering Manager – Connected Physical Products, IoT

Senior Manager – Firmware Engineering, Connected Physical Products, IoT

Engineering Manager – AI & Data Engineering

Senior Associate, Digital Engineering Product Lifecycle Management

Software Engineering Manager

Manager, Software Engineering

Manager – Cyber Architecture, OT and Engineering, Infrastructure Security

Senior Project Engineering Manager

Senior Project Engineering Manager

Head of Engineering