Deeply embed with our most strategic healthcare customers serving as their technical thought partner in ideating and directly developing novel full stack applications on our platformLeverage your software engineering expertise in Python Microsoft Azure and related software languages to create initial prototypes and contribute back durable product featuresProactively provide guidance to our customers on how to maximize business impact from their applications accelerating their time to value Forge and manage relationships with our customers leadership and stakeholders to ensure their applications successful deployment and scaleCollaborate closely with Virtusa internal and client teammates and cross functional teams across the company to strategically drive our AI delivery towards exceeding customer expectationsDefine design and implement scalable secure AI solutions leveraging Generative AI eg LLMs diffusion models Agentic AI systems eg multi agent frameworks and mature MLOps LLMOps practicesLead the continuous integration and delivery CI CD of AI models by developing automation scripts configuring monitoring establishing versioning ensuring governance and building scalable deployment pipelinesGuide data scientists and ML engineers offering hands on assistance to ensure adherence to architectural principles and AI best practicesConvert complex healthcare business challenges into actionable AI strategies rapidly prototyping solutions to demonstrate feasibility and valueStay ahead of AI trends by evaluating new technologies tools and frameworks conducting hands on experiments and pilot projects to continuously enhance AI capabilitiesMaintain clear comprehensive architectural documentation that includes implementation detailsThis list is not all inclusive and you are expected to perform other duties as requested or assignedQualificationsBachelors or masters degree in computer science AI ML Data Science or a related quantitative field Ph D is a plus7 years of experience in software architecture and engineering with at least 2 years specializing in AI ML or demonstrable equivalent experience through significant impactful AI/ML projects Experience in medical insurance and or healthcare preferredExpert proficiency in Python and hands on experience with cloud AI ML services Azure preferred including developing and deploying modelsDemonstrated ability to build and deploy Generative AI solutions LLMs diffusion models with a strong portfolio or examples of hands on workSolid understanding of data privacy regulations HIPAA GDPR CCPAKnowledge of and demonstrated ability in designing developing and integrating APIs for AI services Own outcomes end to end and are willing to pick up whatever knowledge youre missing to get the job done to ensure both your team and our customers succeedSkilled communicator adept at explaining complex technical concepts to both technical and non technical audiences with clarity and concisionExcellent verbal written and interpersonal communication Certified Azure Solutions Architect preferredAI ML Certification preferred
Azure AI Solution Architect
