Virtusa
Description
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 platform Leverage your software engineering expertise in Python Microsoft Azure and related software languages to create initial prototypes and contribute back durable product features Proactively 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 scale Collaborate closely with Virtusa internal and client teammates and cross functional teams across the company to strategically drive our AI delivery towards exceeding customer expectations Define 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 practices Lead the continuous integration and delivery CI CD of AI models by developing automation scripts configuring monitoring establishing versioning ensuring governance and building scalable deployment pipelines Guide data scientists and ML engineers offering hands on assistance to ensure adherence to architectural principles and AI best practices Convert complex healthcare business challenges into actionable AI strategies rapidly prototyping solutions to demonstrate feasibility and value Stay ahead of AI trends by evaluating new technologies tools and frameworks conducting hands on experiments and pilot projects to continuously enhance AI capabilities Maintain clear comprehensive architectural documentation that includes implementation details This list is not all inclusive and you are expected to perform other duties as requested or assigned Qualifications Bachelors or masters degree in computer science AI ML Data Science or a related quantitative field Ph D is a plus 7 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 preferred Expert proficiency in Python and hands on experience with cloud AI ML services Azure preferred including developing and deploying models Demonstrated ability to build and deploy Generative AI solutions LLMs diffusion models with a strong portfolio or examples of hands on work Solid understanding of data privacy regulations HIPAA GDPR CCPA Knowledge 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 succeed Skilled communicator adept at explaining complex technical concepts to both technical and non technical audiences with clarity and concision Excellent verbal written and interpersonal communication skills. Licenses Microsoft Certified Azure Solutions Architect preferred AI ML Certification preferred
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 platform Leverage your software engineering expertise in Python Microsoft Azure and related software languages to create initial prototypes and contribute back durable product features Proactively 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 scale Collaborate closely with Virtusa internal and client teammates and cross functional teams across the company to strategically drive our AI delivery towards exceeding customer expectations Define 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 practices Lead the continuous integration and delivery CI CD of AI models by developing automation scripts configuring monitoring establishing versioning ensuring governance and building scalable deployment pipelines Guide data scientists and ML engineers offering hands on assistance to ensure adherence to architectural principles and AI best practices Convert complex healthcare business challenges into actionable AI strategies rapidly prototyping solutions to demonstrate feasibility and value Stay ahead of AI trends by evaluating new technologies tools and frameworks conducting hands on experiments and pilot projects to continuously enhance AI capabilities Maintain clear comprehensive architectural documentation that includes implementation details This list is not all inclusive and you are expected to perform other duties as requested or assigned Qualifications Bachelors or masters degree in computer science AI ML Data Science or a related quantitative field Ph D is a plus 7 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 preferred Expert proficiency in Python and hands on experience with cloud AI ML services Azure preferred including developing and deploying models Demonstrated ability to build and deploy Generative AI solutions LLMs diffusion models with a strong portfolio or examples of hands on work Solid understanding of data privacy regulations HIPAA GDPR CCPA Knowledge 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 succeed Skilled communicator adept at explaining complex technical concepts to both technical and non technical audiences with clarity and concision Excellent verbal written and interpersonal communication skills. Licenses Microsoft Certified Azure Solutions Architect preferred AI ML Certification preferred