Virtusa
Architect (ATC)
Job Description
Job Title GenAI AI Architect
The ideal candidate will have a deep understanding of Gen AI and Large Language Models and the ability to design develop and deploy Gen AI solutions that address business problems They will have excellent programming skills and be proficient in at least one of the major programming languages used in AI such as Python
Responsibilities
Strong knowledge and previous experience on building ML NLP models textual data
Strong knowledge on LangChain LlamaIndex Vector databases like Redis Chroma Pinecone
Good knowledge on Gen AI monitoring tools like W&B LangSmith
Develop scalable and efficient Gen AI solutions that can be deployed in production environments
Good knowledge on CICD deployment process OpenShift is preferred and desirable
Strong knowledge on evaluating Gen AI output
Strong knowledge on fine tuning LLMs
Evaluate and improve existing Gen AI solutions to ensure optimal performance and accuracy
Develop and implement best practices for Gen AI applications and Gen AI patterns
Conduct experiments and analyses to evaluate the performance of Gen AI solutions
Develop and maintain documentation for Gen AI based solutions
Familiarity with cloud computing platforms such as AWS Bedrock Azure or Google Cloud Vertex AI
Mainly perform as Individual contributor, however collaborate with data scientists and other AI professionals to augment digital transformation efforts by piloting and then deploying use cases to production
Soft Skills
Open to work in a agile and flexible environment attitude to quickly switch on off to different projects within the team
Effectively communicate thoughts insights and plans to cross functional teams Should have ability to explain complex technical concepts to non technical stakeholders like business unit executives
Excellent presentation skills to engage with business users to gain an in depth understanding of priorities and needs
Provide expert advice to determine options and solutions to project issues and challenges to ensure optimal service delivery and client satisfaction
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