Job Description
So, whats the role all about?
We are looking for a dynamic and experienced Technical Manager to lead a team focused on delivering innovative AI-driven solutions using Prompt Engineering, Model Evolution, and AWS Knowledge Hub Service. This role requires a strong technical foundation in AI/ML systems, a deep understanding of large language models (LLMs), and experience with cloud-native architectures on AWS. You will play a pivotal role in shaping our next-generation AI products and optimizing customer experiences through scalable and intelligent systems.
How will you make an impact?
- Lead and manage a cross-functional team of AI/ML engineers and backend developers working on LLM-based features and knowledge management solutions.
- Design and implement prompt engineering strategies to optimize model outputs and ensure contextual relevance across multiple AI use cases.
- Drive the evolution and fine-tuning of language models, leveraging user feedback, model analytics, and performance data.
- Architect and deploy solutions using AWS Knowledge Hub Service, enabling secure, scalable storage and retrieval of customer knowledge assets.
- Collaborate closely with Product Managers, Architects, and Data Scientists to define and deliver product roadmaps aligned with business goals.
- Set up and manage best practices for model evaluation, versioning, deployment, and monitoring in production environments.
- Ensure high system reliability, performance, and security in all delivered solutions.
- Foster a culture of innovation, continuous learning, and technical excellence within the team.
- Contribute to technical architecture reviews, code quality, and team mentoring.
- Stay updated with the latest in generative AI, AWS services, and industry trends to inform strategic decisions.
Have you got what it takes?
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 10+ years of software development experience, with at least 3 years in a technical leadership or managerial role.
- Strong hands-on experience with LLMs, prompt engineering, and model lifecycle management.
- Solid understanding of AI/ML concepts, including supervised/unsupervised learning, transformers, embeddings, etc.
- Deep experience in AWS services, especially AWS Knowledge Hub, Lambda, S3, API Gateway, CloudWatch, and IAM.
- Strong knowledge of API-first development, microservices, and cloud-native architectures.
- Proven experience in delivering enterprise-grade solutions with high scalability, performance, and security.
- Excellent communication, leadership, and stakeholder management skills.
Preferred Skills:
- Familiarity with tools like Lang Chain, Pinecone, Bedrock, or similar platforms.
- Experience with model training and fine-tuning using Hugging Face, OpenAI, or similar frameworks.
- Understanding of DevOps practices and MLOps pipelines.
- Exposure to knowledge management systems or enterprise search solutions.
Whats in it for you?
Join an ever-growing, market disrupting, global company where the teams comprised of the best of the best work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!
Enjoy NICE-FLEX!
At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
Reporting into: Director, Engineering, CX
Role Type: Manager
Job Classification
Industry: Software Product
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time
Contact Details:
Company: NICE
Location(s): Pune
Keyskills:
aws iam
software development
technical leadership
api gateway
artificial intelligence
scalability
microservices
cloud
technical architecture
s
lambda expressions
iam
stakeholder management
devops
leadership
api
aws
communication skills
amazon cloudwatch
architecture