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    Home/Jobs/Senior Consultant - AI Engineer

    Senior Consultant - AI Engineer

    HCA Healthcare

    Hyderabad
    8-11 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    Agentic AI
    Gen AI
    LLM
    Prompt Engineering
    RAG concepts
    Python
    orchestration frameworks
    model evaluation
    APIs
    Git
    GCP
    Azure
    CI/CD pipelines
    observability
    security

    Description

    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.

    Company: HCA Healthcare

    Role: Senior Consultant - AI Engineer

    Location: Hyderabad, Hyderabad, Telangana, India

    Experience:

    • 8-11 years of software development experience
    • 3+ years in AI/ML, Agentic AI, LLM, Gen AI
    • Experience in APIs, Automation, Data engineering, Cloud engineering or related technical field

    Key Skills:

    • Python
    • Gen AI
    • LLMs
    • prompt engineering
    • RAG concepts
    • orchestration frameworks
    • model evaluation approaches
    • APIs
    • Git
    • coding standards
    • testing
    • deployment
    • debugging
    • documentation
    • cloud-based AI platforms and services (e.g. GCP, Azure)

    Qualification:

    • Bachelor’s degree in computer science engineering, data science or related field
    • Master’s degree in computer science engineering, data science or related field
    • Certifications in AI/ML, Agentic AI, Gen AI, responsible AI, cloud-native development

    Role Focus:

    • Lead the technical design, development, and implementation of assigned enterprise-grade Agentic AI solutions
    • Own the end-to-end delivery of assigned technical workstreams
    • Contribute to architecture and technical direction for Agentic AI systems
    • Design, develop and maintain AI agents, prompt flows, API services, tool integrations, and workflow automations
    • Apply engineering best practices for AI development
    • Implement scalable, secure, and reliable AI infrastructure components
    • Design, develop, and deploy AI agents to automate tasks, improve decision-making, and enhance user experience
    • Integrate AI agents into existing systems and workflows
    • Serve as a hands-on technical contributor and subject matter resource in Agentic AI
    • Participate in architectural decisions for AI agent orchestration, tool integration, and system interoperability
    • Evaluate and prototype emerging AI technologies and frameworks
    • Embed responsible and ethical AI practices into solution design

    Additional responsibilities:

    • 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.”
    • Performs other duties as assigned

    Nice to have:

    • Master’s degree in computer science engineering, data science or related field
    • Experience in APIs, Automation, Data engineering, Cloud engineering or related technical field
    • Certifications in AI/ML, Agentic AI, Gen AI, responsible AI, cloud-native development

    Other:

    • Typical work hours can vary depending on workload and project deliverables

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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