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Job Description

In this role, you will work on cutting-edge AI/ML initiatives within a large healthcare/pharmaceutical enterprise, focusing on building agentic AI workflows and end-to-end Generative AI capabilities in a Google Cloud (GCP) and Kubernetes (GKE) environment. Your daily responsibilities will include:

• Design and Develop AI Solutions

o Build agentic AI workflows and solutions leveraging LLMs and advanced GenAI techniques.

o Design and implement AI-driven microservices that integrate seamlessly into enterprise systems.

o Develop NLP pipelines for healthcare-related use cases.

• Backend Engineering

o Develop and maintain backend microservices using Python, Java, and Spring Boot.

o Build and integrate APIs (GraphQL and REST) for scalable service communication.

• Cloud and Infrastructure

o Deploy and manage services on Google Cloud Platform (GKE).

o Work with Google Cloud Spanner (Postgres dialect) and messaging tools like Confluent Kafka (or similar).

o Automate CI/CD pipelines using GitHub Actions and Argo CD.

• ML Integration and Operations

o Collaborate with Data Scientists and MLOps teams to integrate ML models into production workflows.

o Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP.

o Implement observability and reliability for AI decisions by logging predictions, confidence scores, and fallbacks into data lakes or monitoring tools.

• Performance and Scalability

o Ensure high availability, scalability, and security of AI services.

o Optimize workflows for performance and cost efficiency in a cloud-native environment.

• Cross-Functional Collaboration

o Partner with product teams, data engineers, and compliance stakeholders to align AI solutions with business and regulatory requirements.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 5+ years of backend development experience with Java, Spring Boot, and Restful APIs

• Hands-on experience with Google Cloud Platform

• 2+ years’ experience integrating or consuming ML/AI models in production environments (e.g. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints)

• Familiarity with Kubernetes concepts; experience deploying services on GKE

• Familiarity with Vertex AI, Kubeflow or similar AI platforms on GCP for model training and serving

• Familiarity with ML model lifecycle - from data ingestion, training, deployment, to real-time inference (MLOPS) · Understanding of GenAI use cases, LLM prompt engineering and agentic orchestration (e.g. LangChain, transformers)

• Experience deploying Python-based ML Services into Java microservice ecosystems (via REST, gRPC or sidecar patterns)

• Knowledge of claim adjudication, Rx domain logic or healthcare specific workflow automation

• Experience working with structured and unstructured data (e.g. Rx Claim metadata, clinical documents, NLP processing).