Role Overview
We are looking for an experienced Senior AI Engineer with strong Google Cloud Platform experience and preferably a healthcare domain background The ideal candidate will design develop and support secure scalable cloud native healthcare applications while leveraging Google Vertex AI and AI assisted engineering practices to improve delivery speed code quality and solution intelligence
Key Responsibilities
Build and deploy cloud native applications on Google Cloud Platform using services such as Cloud Run Cloud Functions Pub Sub Cloud Storage and managed databases
Integrate Google Vertex AI capabilities into healthcare applications including generative AI model endpoints prompt based workflows and intelligent automation use cases
Apply responsible AI and vibe coding practices to accelerate development improve developer productivity and support rapid prototyping while ensuring code quality security and maintainability
Collaborate with product owners architects business analysts QA DevOps and healthcare stakeholders to translate business and clinical requirements into technical solutions
Ensure application designs and data handling practices align with healthcare security privacy and compliance expectations including protection of PHI PII and HIPAA aligned controls
Participate in code reviews unit testing integration testing CICD automation performance tuning production support and incident resolution
Contribute to architecture discussions reusable frameworks technical documentation and engineering best practices across delivery teams.
Required Skills and Experience
Min 10 years of hands on software engineering experience with strong backend development expertise
Hands on experience with Google Cloud Platform services and cloud native application development
Practical experience using Google Vertex AI or related AIML platforms for generative AI model integration embeddings prompt workflows or intelligent automation
Experience with CICD pipelines Git based source control automated testing containerization and DevOps practices
Healthcare domain experience including familiarity with payer provider pharmacy claims clinical patient engagement or healthcare data platforms
Understanding of healthcare data privacy PHI PII handling HIPAA aligned security controls auditability and production support expectations
Ability to use AI assisted development or vibe coding approaches responsibly validating generated code for correctness reliability security and maintainability
Preferred Qualifications
Experience with healthcare interoperability standards such as HL7 FHIR EDI X12 or similar healthcare integration patterns
Knowledge of BigQuery Dataflow Cloud Composer Apigee Kubernetes Terraform Jenkins GitHub Actions or observability tools
Experience working in Agile or SAFe delivery environments with distributed onshore offshore teams
Robust communication skills with the ability to explain technical designs risks and tradeoffs to business and technology stakeholders
Good to Have
Design develop and maintain enterprise grade backend services using Java Spring Boot REST APIs and microservices architecture
Strong proficiency in object oriented design and secure coding practices
Skills
Mandatory Skills : AI/Generative AI, GCP AI Services, GCP Vertex AI
Good to Have Skills : Java, Microservices, SpringBoot
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert