Senior Consultant - AI Engineer

HCA Healthcare - India; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

HCA Healthcare - India is seeking a Senior Consultant – AI Engineer to lead design, development, and deployment of Agentic AI solutions. The role requires collaborating with product managers, data scientists, and security teams to deliver scalable AI capabilities and production-ready AI agents.

You will mentor team members, ensure best practices in AI development, and contribute to architecture while delivering reliable, compliant solutions. Typical work hours may vary with project demands.

Qualifications

• Bachelor's degree required; Master's preferred.
• 8-11 years of software development experience with 3+ years in AI/ML, Agentic AI, LLM, Gen AI.
• Experience in APIs, Automation, Data engineering, Cloud engineering or related technical field.

Responsibilities

• Lead the technical design, development, and implementation of Agentic AI solutions.
• Own end-to-end delivery of technical workstreams including design, development, testing, deployment and monitoring.
• Contribute to architecture and technical direction for Agentic AI systems with cross-functional teams.
• Design, develop and deploy AI agents, prompt flows, APIs, tools integrations, and workflow automations.
• Apply engineering best practices for AI development, including CI/CD, testing protocols, security and compliance.
• Develop scalable, secure AI infrastructure components ensuring high availability.
• Mentor team members while remaining hands-on in development and troubleshooting.
• Participate in architectural decisions for AI agent orchestration and system interoperability.
• Evaluate emerging AI frameworks and build data-driven recommendations to improve performance and cost.

Skills

Python

Gen AI

LLMs

Prompt engineering

RAG concepts

Orchestration frameworks

APIs

Git

Testing

CI/CD

Cloud platforms

Observability

Security

Compliance

Problem solving

Mentoring

Education

Bachelor's degree in computer science engineering, data science or related field

Master’s degree in computer science engineering, data science or related field

Tools

GCP

Azure

Job description

Job Description

General Position Information

Department Name:Digital Transformation & Innovation Team Job Title Identification:Senior Consultant - AI Engineer Reports directly to (Title):Senior Manager - AI Engineering Direct Reports:No Created / Last Revised:- Job Code:-

Position Summary

At HCA Healthcare, we are committed to providing our patients and care providers with the highest quality healthcare services. HCA’s Digital Transformation and Innovation (DT&I) team delivers a step change in that direction through clinically led integration of digital and AI technologies into care.

As a Senior Consultant – AI Engineer, you will be a senior technical contributor supporting the development and implementation of Agentic AI solutions for HCA. You will collaborate closely with product managers, data scientists, and other stakeholders to deliver high-quality, scalable, and reliable Gen AI products. Your deep technical expertise and engineering skills will be essential in supporting design decisions, building production-ready AI capabilities, guiding the team, ensuring adherence to best practices, and delivering impactful AI solutions.

Key Responsibilities

• Lead the technical design, development, and implementation of assigned enterprise-grade Agentic AI solutions aligned to strategic business priorities.
• Own the end-to-end delivery of assigned technical workstreams, including solution design, development, testing, deployment, monitoring, and performance optimization.
• Contribute to architecture and technical direction for Agentic AI systems, partnering closely with product managers, data scientists, security, and enterprise architecture teams to translate business requirements into scalable, production-ready solutions.
• Design, develop and maintain AI agents, prompt flows, API services, tool integrations, and workflow automations that integrate with existing platforms and workflows.
• Apply engineering best practices for AI development, including coding standards, model evaluation methodologies, testing protocols, CI/CD pipelines, deployment procedures, observability, security, and compliance requirements.
• Implement scalable, secure, and reliable AI infrastructure components, supporting high availability, performance, and adherence to enterprise privacy and regulatory standards.
• Design, develop, and deploy AI agents to automate tasks, improve decision-making, and enhance user experience.
• Integrate AI agents into existing systems and workflows, ensuring seamless operation and optimal performance.
• Serve as a hands-on technical contributor and subject matter resource in Agentic AI, supporting complex implementations, resolving technical challenges, and mentoring and supporting the team.
• Participate in architectural decisions for AI agent orchestration, tool integration, and system interoperability.
• Evaluate and prototype emerging AI technologies and frameworks, making data-driven recommendations to improve system performance, cost efficiency, and scalability.
• Embed responsible and ethical AI practices into solution design, including guardrails, evaluation frameworks, and human-in-the-loop considerations.
• Stay current with advancements in AI and Agentic AI and continuously build and enhance system capabilities and development efficiency.
• Participate in cross-functional collaboration across HCA business functions, IT, and enterprise product teams.
• Participate in code reviews, team discussions, documentation, and Agile ceremonies.
• Practices and adheres to the “Code of Conduct” philosophy and “Mission and Value Statement.”
• Typical work hours can vary depending on workload and project deliverables.
• Performs other duties as assigned.

Education & Experience

• Bachelor’s degree in computer science engineering, data science or related field. Required
• Master’s degree in computer science engineering, data science or related field. Preferred
• 8-11 years of software development experience with 3+ years in AI/ML, Agentic AI, LLM, Gen AI. Required
• Experience in APIs, Automation, Data engineering, Cloud engineering or related technical field. Preferred

Licenses, Certification & Training Requirements

• Certifications in AI/ML, Agentic AI, Gen AI, responsible AI, cloud-native development. Preferred

Knowledge, Skills, Abilities, Behaviors

• Strong technical background with hands-on experience developing and deploying Agentic AI solutions and AI agents using Python or similar languages.
• Working knowledge of Gen AI, LLMs, prompt engineering, RAG concepts, orchestration frameworks and model evaluation approaches.
• Deep understanding of software development best practices including APIs, Git, coding standards, testing, deployment, debugging and documentation.
• Experience with cloud-based AI platforms and services (e.g. GCP, Azure).
• Ability to build reliable integrations across systems, tools, APIs, data sources, and enterprise workflows.
• Observability, monitoring, logging, security, privacy, and compliance considerations for AI-enabled systems.
• Strong problem-solving, communication, collaboration, curiosity, and technical ownership skills.
• Ability to mentor others while remaining hands-on in design, development, testing, and troubleshooting.

Requirements: