Senior Staff AI Engineer

Position Summary

The Senior Staff AI Engineer serves as a technical authority and strategic leader in the application of advanced Generative AI technologies, driving enterprise-scale innovation across the healthcare ecosystem. This role is responsible for defining and evolving architectural direction, guiding complex AI initiatives, and ensuring the successful adoption of cutting-edge AI capabilities that transform how healthcare solutions are designed and delivered. Operating at a level of influence beyond a single team, the Senior Staff AI Engineer shapes the long-term technical roadmap for Generative AI, particularly across GCP Vertex AI, Gemini, agentic systems, and large-scale Retrieval-Augmented Generation (RAG) platforms. The role balances deep hands-on technical contribution with organization-wide technical stewardship, mentoring Staff and Senior engineers, and partnering with executive stakeholders to align AI strategy with business outcomes.

This position sits within a flagship innovation organization and is intended for a highly experienced engineer who consistently operates in ambiguous problem spaces, sets technical standards, and drives durable, scalable AI platforms across multiple initiatives.

General Position Information

- Reports directly to (Title): Leader AI Engineering
- Matrix reports to (Title): AVP AI & ML Platform engineering
- Direct Reports: No
- Created / Last Revised: / Click here to enter a date.
- Job Area: AI Engineering
- Job Focus: AI Development
- Job Category: Qualified

Position Summary

General Position Information

Key Responsibilities

Technical Leadership & Architecture

- Define and evolve the architectural vision and technical standards for enterprise Generative AI platforms.
- Lead the design of large-scale, multi-team AI systems, ensuring robustness, scalability, security, and responsible AI practices.




- Serve as a final technical reviewer for critical architectural decisions impacting multiple teams or strategic initiatives.
- Establish best practices for LLM usage, RAG architectures, embeddings, evaluation, observability, and lifecycle management.

Advanced AI Systems Development

- Lead the development of enterprise-grade Generative AI solutions on Google Cloud Platform, with deep expertise in Vertex AI, Gemini, and emerging tooling.
- Architect and oversee sophisticated Retrieval-Augmented Generation (RAG) ecosystems grounded in proprietary healthcare data.
- Design and standardize data grounding strategies, schemas, and pipelines that connect LLMs with real-world, real-time data sources.
- Drive the exploration and production adoption of agentic AI systems capable of complex reasoning, orchestration, and autonomous task execution.
- Champion the enterprise adoption and evolution of interoperability frameworks such as the Model Context Protocol.

Organizational Influence & Strategy

- Partner with AI leadership, product leadership, and executive stakeholders to shape AI strategy and long-term investment priorities.
- Translate complex technical capabilities into clear business value propositions and architectural options for senior leadership.
- Influence roadmap planning across multiple teams by identifying shared platforms, reusable components, and systemic risks.

Mentorship & Engineering Excellence

- Act as a technical mentor and sponsor for Staff and Senior Engineers, guiding their growth toward higher-level technical impact.
- Foster a culture of engineering excellence through architecture reviews, design mentorship, and cross-team collaboration.
- Lead investigations into complex, ambiguous AI challenges and guide teams toward elegant, scalable solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Engineer (Hyderabad)
🏢 HCA Healthcare UK
📍 Hyderabad