AI Architect
Job in
695001, Thiruvananthapuram, Kerala, India
Listed on 2026-03-01
Listing for:
Experion Technologies
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
AI Engineer, Data Scientist, Cloud Computing, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Skills – Mandatory
Python, Multi-LLM system design, RAG architecture, AI platform governance
AWS Lambda, Amazon API Gateway, Amazon Dynamo
DB,
Claude models, Bedrock-hosted models(AWS Bedrock, AWS Bedrock Knowledgebase, Bedrock Fine Tune Model: Nova Lite 1.0)
Skills - Primary
Python Multi-LLM system design, RAG architecture, AI platform governance
AWS Lambda, Amazon API Gateway, Amazon Dynamo
DB,
Claude models, Bedrock-hosted models
Skills - Good to have
AWS Open Search Service, AWS Lambda/ API Gateway/Cloud Front/Cloud Watch
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 Open Search 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
-Tensor Flow, 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 Data warehouse 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
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