AI Architect - Trivandrum - Experion Technologies

    Experion Technologies
    Experion Technologies Trivandrum

    1 day ago

    ₹1,800,000 - ₹4,000,000 (INR) per year * Technology / Internet
    Description

    ROLE – AI ARCHITECT

    Skills – Mandatory

    Python, Multi-LLM system design, RAG architecture, AI platform governance

    AWS Lambda, Amazon API Gateway, Amazon DynamoDB,

    Claude models, Bedrock-hosted models(AWS Bedrock, AWS Bedrock Knowledgebase, Bedrock Fine Tune Model: Nova Lite 1.0)

    Skills - Primary

    PythonMulti-LLM system design, RAG architecture, AI platform governance

    AWS Lambda, Amazon API Gateway, Amazon DynamoDB,

    Claude models, Bedrock-hosted models

    Skills - Good to have

    AWS OpenSearch Service, AWS Lambda/ API Gateway/CloudFront/CloudWatch

    Qualification

    Bachelor's Degree

    Total Experience

    10+ years

    Relevant Experience

    8+ years

    Work Location

    Cochin/TVM

    Job Purpose

    We are looking for a hands-on AI Leader / Architect to guide the design, governance, and implementation of a scalable multi-LLM platform within a healthcare-aligned environment. This role combines strategic architecture ownership with practical engineering involvement.

    Job Description / Duties & Responsibilities

    The individual must bring strong expertise in:

    • Multi-LLM orchestration
    • AI governance & compliance
    • Production-grade GenAI architecture

    Experience in healthcare or regulated environments is highly preferred.

    Architecture & Strategy

    • Define and evolve the multi-LLM architecture using models such as Anthropic Claude 3.7 Sonnet and Amazon Nova
    • Lead design of RAG-based systems using Amazon Web Services native stack
    • Architect scalable solutions leveraging:
    • AWS Bedrock
    • AWS OpenSearch Service
    • Knowledge Bases
    • Fine-tuned models (e.g., Nova Lite)

    Governance & Compliance

    • Establish responsible AI practices including:
    • Model usage policies
    • Prompt governance
    • Data privacy safeguards
    • Clinical/healthcare AI alignment

    Hands-on Leadership

    • Contribute to solution implementation where needed
    • Guide prompt design, model selection, and evaluation
    • Support RAG optimization and retrieval strategy

    Platform Direction

    • Define:
    • Model routing strategy
    • Observability & monitoring framework
    • Hallucination mitigation approaches
    • LLM performance evaluation

    Job Specification / Skills and Competencies

    Masters/Bachelor's in Computer Science or equivalent

    Deep understanding of Machine Learning models and algorithms

    Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same

    Understanding of and experience in one or more of the machine learning frameworks -TensorFlow, Caffe, Torch etc.

    Understanding of and experience of building machine learning models using various packages in one or more of the programming languages– Python / R

    Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts

    Understanding of AWS Cloud architecture

    Understanding on the deployment architectures of AI/ML models (Flask, AWS lambda)

    To adhere to the Information Security Management policies and procedures.

    Soft Skills Required

    Must be a good team player with good communication skills

    Must have good presentation skills

    Must be a pro-active problem solver and a leader by self

    Manage & nurture a team of data scientists

    Desire for numbers and patterns

    * This salary range is an estimation made by beBee
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