Job Summary

Service Manager will oversee end to end delivery of hybrid model mainframe application services using Cobol JCL DB2 Mainframe Utilities to ensure stable high quality business systems.

- AI developer:Key Responsibilities
- Development: Design fine-tune and deploy machine learning and generative AI models.
- System Integration: Connect AI models and LLMs to backend software and APIs.
- Performance Optimization: Scale AI systems for speed accuracy and cost-efficiency..

Responsibilities

- Drive planning and execution of Artificial Intelligence projects by defining explicit scope milestones and delivery plans that align with business objectives and client expectations.
- Coordinate cross functional teams including data experts engineers and business stakeholders to ensure effective collaboration and timely resolution of project dependencies.
- Monitor project progress using standardized tracking methods and dashboards to provide transparent updates on risks issues and status to stakeholders.
- Manage project risks by identifying potential delivery obstacles early assessing impact and implementing mitigation actions that minimize disruption to timelines and quality.
- Optimize resource utilization by aligning tasks with skills managing workload and working with managers to address capacity gaps across the project lifecycle.
- Ensure project documentation such as plans status reports and closure reports is maintained with clear and accurate content that supports audits and future reuse.
- Coordinate with clients in the Artificial Intelligence space to clarify requirements validate acceptance criteria and confirm that outcomes meet stated business goals.
- Drive adherence to delivery governance processes by following organization standards for estimation change control financial tracking and quality checks.
- Enable smooth hybrid working by scheduling regular virtual and in person ceremonies that support collaboration decision making and progress tracking.




- Support integration of Artificial Intelligence solutions into existing enterprise systems by aligning technical activities testing schedules and rollout plans with client teams.
- Align Artificial Intelligence project outcomes with enterprise strategies such as digital transformation customer experience and operational efficiency to create measurable value.
- Collaborate with cards and payments stakeholders when applicable to ensure that Artificial Intelligence use cases respect regulatory expectations fraud prevention norms and transaction integrity.
- Promote a culture of continuous improvement by capturing lessons learned from each Artificial Intelligence initiative and sharing practical recommendations across teams.

Qualifications

- Require professional experience of at least five years in project management with a focus on technology or data intensive initiatives in complex environments.
- Require hands on experience managing Artificial Intelligence projects such as machine learning solutions intelligent automation or advanced analytics implementations.
- Require strong familiarity with project management methods that may include predictive and adaptive approaches and the ability to apply them pragmatically in hybrid work setups.
- Require proven ability to gather requirements from diverse stakeholders translate needs into clear delivery plans and maintain traceability through the project lifecycle.
- Require solid communication and facilitation skills to conduct meetings clarify expectations and manage conflicts in multicultural and distributed teams.
- Prefer prior exposure to cards and payments processes such as authorization flows transaction processing and risk assessment within financial institutions.
- Prefer understanding of data privacy compliance and security considerations relevant to Artificial Intelligence solutions in financial and customer centric domains.
- Prefer familiarity with collaboration tools project tracking platforms and documentation practices that support transparent reporting in hybrid work environments.
- Prefer relevant academic background such as engineering computer science information systems or business management with focus on technology projects.

📌 Project Manager (Chennai)
🏢 Cognizant
📍 Chennai