Manager - Learning & Development

**Job Purpose**
- Join a dynamic and growing team dedicated to cultivating a talent pipeline that ensures Cognizant remains a leading force in IT, equipped with the skilled associates necessary to drive continued success
- Bring your skills and experience to influence the direction of Cognizant L&D.
- Deliver training courses from Cognizant's course catalog in generative AI specialization.
- Develop skilled developers capable of delivering quality software using Generative AI concepts and tools
- Utilize facilitation and training skills that meet the requirements of the adult learner in both classroom and distance learning setup.
- Instill high learning agility in learners and create a culture of continuous learning

**Roles and Responsibilities**
- Design and deliver comprehensive training programs for gen AI technologies.
- Conduct engaging and informative in-person and virtual training sessions, workshops, and seminars for employees, clients, and partners.
- Utilize a variety of instructional techniques and formats, such as simulations, team exercises, group discussions, and videos, to enhance learning experiences.
- Ability to write clear, concise explanations of complex concepts and engaging course content for a diverse
- Work with Business stakeholders and SMEs to understand training needs and build effective training plan
- Curate the Learning materials needed for the training plan
- Develop multiple-choice questions, scenario-based questions, case studies, Lab exercises based on the training content
- Develop video-based learning e.g., Prompt Engineering for All.
- Facilitating classroom and virtual classroom (VILT) training.
- Participating in curriculum development processes for both classroom based and online training.
- Design evaluation rubrics to validate the knowledge of the participants on the training.
- Conduct the Viva voce for the participants to assess their knowledge after the training.
- Work on the Infrastructure/software lab set up and validation of lab to use during the training sessions.
- Review the training content by peers/SMEs
- Participate in Training Sprint calls and provide the resolution on the participant queries
- Validate the participant's solution implementation and provide the continuous feedback
- Adapt quickly for the change in business needs in short span of time and expected quick workaround.
- Experience in Agile Development methodology, Continuous Integration and DevOps.
- Demonstrated ability to deliver effective training, in classroom and/or virtual classroom environments.
- Stay updated with the latest advancements in AI and cloud technologies to incorporate them into the training curriculum.
- Collaborate with cross-functional teams to align training objectives with organizational goals

**Job Requirements**

**Experience**:

- Proven experience as a trainer or educator in Python or Java programming and AI technologies.
- Familiarity with Google Colab and Microsoft VS code IDEs
- Strong practical knowledge of AI code companion tools (GitHub Copilot/Amazon Q Developer/Tabnine).
- Familiarity with gen AI implementations on Azure, AWS, and Google Cloud LLMs and experience in Retrieval-Augmented Generation (RAG) with Open AI, AWS Bedrock or Google Gemini with a demonstrated ability to train LLMs
- Hands-on experience with Generative AI models, such as GPT, BERT, DALL-E, etc.
- Experience in instructional design and curriculum development.
- Excellent communication and presentation skills.
- Ability to create an engaging learning environment and motivate participants.
- Ability to use Microsoft 365 Copilot in Microsoft 365 apps

**Education/Certifications**:

- Bachelor's degree in Computer Science, Information Systems or a related discipline. An equivalent combination of education and work experience may be taken into consideration in lieu of a degree.

**Specialized knowledge/experience**:

- Should be specialized in Java or Python and AWS/Azure/Google skills. Valid Certifications in Azure, AWS, or Google Cloud platforms is an added advantage

**Technical Requirements**:

- Frontend Skills - HTML5, CSS3, Bootstrap, Modern JavaScript, jQuery, Jasmine, Angular/REACT, Unit Testing and Integration Testing
- Backend Skills - Core Java 8, Spring Boot, Spring Cloud, Microservices, Junit, JSON, Data Structures, Python, MongoDB, MYSQL, Redis, Secured Coding, Code Quality
- Cloud Skills - Cloud Native Application development and deployment using AWS Cloud Services
- GenAI Skills - GitHub copilot, Amazon Q Developer, Tabnine and prompt engineering tools and techniques.

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