Project Role Description: Design and support implementation of AI-driven solutions within cloud-native architectures. Works with architects and delivery teams to translate AI use cases into scalable, production-ready systems leveraging GenAI, ML, and modern engineering practices.
Must have Skills: AI/ML & GenAI (LLMs, RAG, Agents)
Python-based development
Cloud platforms (AWS / Azure / GCP)
APIs and microservices.
Good to Have Skills: MLOps and pipeline orchestration, Data engineering frameworks, DevOps and automation, Responsible AI practices
Key Responsibilities:
- Support design and implementation of AI/GenAI-enabled solutions
- Develop and integrate AI components such as LLM-based services, RAG pipelines, and agents
- Collaborate with architects to align AI solutions with enterprise architecture
- Participate in solutioning activities for AI-led opportunities
- Ensure adherence to best practices in scalability, reliability, and security
- Contribute to reusable assets and accelerators.
Technical Experience:
Experience working with AI/ML frameworks and cloud AI services
Understanding of microservices, APIs, and cloud-native architecture
Exposure to CI/CD, containers, and modern development practices
Familiarity with Agile delivery models.
Professional Attributes:
12+ Years of experience
Strong problem-solving mindset
Good communication and collaboration skills
Ability to work in fast-paced environments
Continuous learning orientation.
Educational Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
