AI Engineer
HCA Healthcare India2 months ago
Hyderābād, IndiaStaff+
Responsibilities
- Define the architectural vision, technical standards, and long-term roadmap for enterprise Generative AI platforms.
- Lead the design and development of large-scale, multi-team AI systems using Vertex AI, Gemini, agentic systems, and RAG architectures.
- Design data grounding strategies, schemas, embeddings, vector-store practices, evaluation frameworks, and pipelines connecting LLMs with real-time data.
- Establish standards for observability, lifecycle management, governance, reliability, security, and responsible AI practices.
- Review critical architecture decisions and communicate complex system designs to technical and executive audiences.
- Partner with AI leadership, product leadership, and executives to shape AI strategy, investment priorities, and business outcomes.
- Mentor and sponsor Staff and Senior Engineers and foster engineering excellence through architecture reviews and technical communities.
- Lead investigations into ambiguous, high-impact AI and distributed-systems challenges and guide teams toward scalable solutions.
Requirements
- Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.
- 10+ years of professional software engineering experience, including 5–7+ years focused on AI/ML or advanced applied machine learning systems.
- Proven experience architecting and influencing large, production-grade AI platforms across multiple teams or domains.
- Expert hands-on experience with GCP Vertex AI, Gemini, Vertex AI Studio, and enterprise AI deployment patterns.
- Advanced architecture-level expertise with Retrieval-Augmented Generation systems, evaluation, vector stores, embeddings, indexing, and lifecycle management.
- Deep experience with data modeling, schema design, pipeline orchestration, LLM grounding, factuality, traceability, and regulatory alignment.
- Leadership-level experience with DevOps, CI/CD, MLOps, platform governance, observability, and reliability across environments.
- Experience designing cloud-native, serverless, containerized, and hybrid AI architectures.
- Strong knowledge of the Model Context Protocol and agentic AI frameworks and patterns such as LangChain.
- Broad full-stack experience with SQL and NoSQL databases, ETL and data pipelines, eventing and streaming platforms, microservices, and distributed systems.
- Experience integrating AI solutions with CRM, ERP, eCommerce, or EMR/EHR systems is preferred.
- Advanced cloud or AI certifications such as GCP Professional ML Engineer or Cloud Architect are preferred.
- Experience with architecture diagrams, troubleshooting, performance tuning, load testing, Agile software development lifecycles, and leading through influence.
- Strong communication, analytical, problem-solving, mentorship, and executive-stakeholder collaboration skills.
Benefits
- Occasional travel may be required.
Tech Stack
Categories
About HCA Healthcare India
HCA Healthcare India is the technology and analytics arm of HCA Healthcare, Inc., the U.S.-based hospital operator headquartered in Nashville. Teams in India build cloud data platforms, pipelines, and software that support clinical, operational, and revenue workflows across HCA’s hospitals and clinics, and provide DevOps, BI, and testing services. HCA Healthcare was founded in 1968 and runs a broad network of hospitals and outpatient facilities in the United States.