Project and Delivery Oversight
- Maintain close oversight of critical and high-impact AI projects from solution definition through production deployment.
- Regularly review project status, technical risks, dependencies, resource constraints, and delivery commitments.
- Proactively identify projects that are at risk and work with project leads to define corrective actions.
- Ensure that AI initiatives deliver measurable business outcomes and are not limited to prototypes or proof-of-concept implementations.
- Communicate delivery status, risks, decisions, and escalations clearly to senior stakeholders.
- Balance priorities and resources across multiple concurrent AI, ML, GenAI, and optimization initiatives.
Technical and Architectural Leadership
- Provide hands-on technical guidance for complex AI, machine learning, optimization, and Generative AI solutions.
- Review and challenge solution architectures, technical designs, implementation approaches, and technology selections.
- Architect scalable, secure, cost-effective, and production-ready AI solutions across Microsoft Azure and/or AWS.
- Ensure appropriate integration between AI solutions and enterprise applications, APIs, data platforms, cloud services, and operational systems.
- Guide teams on software engineering practices, including modular design, testing, version control, CI/CD, observability, reliability, and maintainability.
- Ensure solutions meet enterprise requirements for security, privacy, governance, compliance, performance, and responsible AI.
Generative and Agentic AI
- Lead the design and implementation of enterprise Generative AI and Agentic AI solutions.
- Guide teams on areas such as Retrieval-Augmented Generation, tool-calling agents, multi-agent workflows, prompt engineering, model routing, and AI orchestration.
- Establish appropriate evaluation frameworks for GenAI and Agentic AI solutions, including accuracy, groundedness, relevance, safety, latency, reliability, and cost.
- Ensure that GenAI applications include appropriate guardrails, human oversight, monitoring, and fallback mechanisms.
- Evaluate emerging AI technologies and determine their suitability for enterprise use cases.
Business and Stakeholder Engagement
- Translate complex business problems into clear AI, ML, optimization, and data-driven solution approaches.
- Work with business leaders to define use cases, expected outcomes, success measures, and adoption plans.
- Communicate technical concepts, architectural decisions, trade-offs, risks, and limitations to both technical and non-technical stakeholders.
- Ensure alignment between business priorities, technical feasibility, delivery capacity, and enterprise strategy.
- Support the adoption and operationalization of AI solutions across the organization.
Desired Candidate profile
Mandatory Experience and Qualifications
- Minimum of 10 years of overall professional experience.
- Approximately 3 or more years of software development or software engineering experience.
- Approximately 5–7 years of experience in Data Science, Machine Learning, Artificial Intelligence, or Optimization.
- Demonstrated experience directly leading and managing a team of at least 10 professionals.
- Experience managing multidisciplinary teams that may include AI Engineers, AI Architects, ML Engineers, Data Scientists, and Optimization Scientists.
- Strong hands-on understanding of software engineering, solution architecture, cloud platforms, data systems, and production AI delivery.
- Proven experience taking AI or ML solutions from experimentation through production deployment and ongoing operations.
- Experience overseeing multiple critical projects, managing delivery risks, and ensuring commitments are met.
- Strong architecture experience across Microsoft Azure, AWS, or comparable enterprise cloud platforms.
- Experience designing solutions involving APIs, microservices, cloud-native applications, data pipelines, model deployment, monitoring, and MLOps.
- Practical experience with Generative AI, Large Language Models, Retrieval-Augmented Generation, or Agentic AI solutions.
- Understanding of GenAI and Agentic AI evaluation approaches, including quality, groundedness, safety, reliability, latency, and cost evaluation.
Preferred Experience
- Experience delivering AI solutions within manufacturing, industrial, engineering, supply-chain, operations, or similar environments.
- Experience with optimization problems such as production planning, scheduling, inventory optimization, logistics, network optimization, or resource allocation.
- Familiarity with Azure AI Foundry, Azure Machine Learning, AWS SageMaker, Amazon Bedrock, Databricks, Kubernetes, and related AI platforms.
- Experience implementing AI governance, responsible AI, model risk management, and enterprise evaluation frameworks.
- Experience managing globally distributed or cross-functional teams.
- Experience working with senior business and technology leadership.
Candidate Profile
The ideal candidate is a strong people leader who remains technically engaged. They should be able to move comfortably between reviewing an AI architecture, challenging a delivery plan, coaching a technical lead, resolving a project risk, and explaining the business value of an AI initiative to senior leadership. The role requires someone who can lead an already-established team, strengthen execution, maintain visibility over critical initiatives, and ensure that AI solutions are technically robust, production-ready, and aligned with business priorities.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
SET : Strategy, Execution, Talent (for managers)
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
WHAT TE CONNECTIVITY OFFERS
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
- Competitive Salary Package
- Performance-Based Bonus Plans
- Health and Wellness Incentives
- Employee Stock Purchase Program
- Community Outreach Programs / Charity Events
- Employee Resource Group
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
Job Locations
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India
Posting City
Bangalore
Job Country
India
Travel Required
Less than 10%
Requisition ID
155774
Workplace Type
Hybrid
External Careers Page
Information Technology
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