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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
    orchestration frameworks
    model evaluation
    Python
    APIs
    Data Engineering
    Cloud engineering
    Git
    testing

    Description

    HCA Healthcare is seeking a Senior Consultant - AI Engineer to develop and implement Agentic AI solutions, collaborating with cross-functional teams to deliver scalable and reliable Gen AI products.

    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

    Key Skills:

    • Agentic AI
    • AI agents
    • Python
    • Gen AI
    • LLMs
    • prompt engineering
    • RAG concepts
    • orchestration frameworks
    • model evaluation
    • APIs
    • Automation
    • Data engineering
    • Cloud engineering
    • GCP
    • Azure
    • software development best practices
    • Git
    • coding standards
    • testing
    • deployment
    • debugging
    • documentation
    • observability
    • monitoring
    • logging
    • security
    • privacy
    • compliance

    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 (preferred)
    • Certifications in AI/ML, Agentic AI, Gen AI, responsible AI, cloud-native development (preferred)

    Role Focus:

    • Lead technical design, development, and implementation of enterprise-grade Agentic AI solutions
    • Own end-to-end delivery of technical workstreams including design, development, testing, deployment, monitoring, and optimization
    • 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 including coding standards, model evaluation, testing protocols, CI/CD pipelines, deployment, observability, security, and compliance
    • Implement scalable, secure, and reliable AI infrastructure components
    • Design, develop, and deploy AI agents to automate tasks and improve decision-making
    • Integrate AI agents into existing systems and workflows
    • Serve as hands-on technical contributor and subject matter expert 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
    • Stay current with advancements in AI and Agentic AI
    • Participate in cross-functional collaboration across business functions, IT, and enterprise product teams
    • Participate in code reviews, team discussions, documentation, and Agile ceremonies

    Additional responsibilities:

    • Support complex implementations and resolve technical challenges
    • Mentor and support the team
    • Practice and adhere to the Code of Conduct philosophy and Mission and Value Statement
    • Perform other duties as assigned
    • Typical work hours vary depending on workload and project deliverables

    Nice to have:

    • 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
    • Experience in APIs, Automation, Data engineering, Cloud engineering

    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.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

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

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