Education Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Strong academic foundation in statistics, probability, and LLM and Agentic AI and AWS Bedrock Experience

Optional skills Machine Learning and Neural networks

12- 18 years of professional experience in LLM, Agentic AI

All aspects of BEDROCK, use of security APIs from AWS, Dynamo DB, Experience in Claude LLMs

Experience working on end-to-end Bedrock workflows

Ability to translate business and product requirements into data-driven solutions

Generative AI & LLMs & AI/ML Hands-on experience developing LLM-powered applications using Amazon Bedrock or similar platforms

Experience building or contributing to Retrieval-Augmented Generation (RAG) pipelines, including:

Document ingestion and chunking

Embedding generation

Similarity search using vector databases

Practical knowledge of prompt engineering, prompt tuning, and output evaluation

Understanding of common LLM failure modes such as hallucinations and grounding issues

Ability to evaluate LLM responses for accuracy, relevance, and safety

AI/ML model actual Experience in model building Solution Architecture and Presales / GTM experience on AI/ML/LLM/Agentic AI.

Agentic AI (Growing Expertise)



Exposure to Agentic AI concepts and frameworks such as AgentCore

Experience implementing

Simple Autonomous agents or workflows

Multi-step reasoning with predefined tools

Familiarity with tool-calling, agent orchestration, and workflow automation

Understanding the importance of

Guardrails

Human-in-the-loop mechanisms

Logging and observability for agent behavior

Cloud Platform Working knowledge of key AWS services, including:

S3, Lambda, Redshift, IAM, S3, AWS WAF, Query handler , Lambda

Qualified & Collaboration Skills Team mentoring and Solution Governance Strong Python programming skills and experience working with APIs

Ability to work effectively in cross-functional teams (product, engineering, analytics)

Willingness to learn quickly in a fast-evolving AI landscape ( flexibility and learning attitude )

Comfortable taking technical guidance and implementing feedback

Clear communication of findings, limitations, and model behavior to non-technical stakeholders

Nice to Have Initial exposure to AI governance, compliance, or ethical AI practices

Experience with monitoring LLM outputs and basic evaluation frameworks

Certifications in AWS Bedrock Gen AI Developer Professional , Azure and GCP Machine Learning, or Data Science

📌 Principle AI Architect (Hyderabad)
🏢 Minfy
📍 Hyderabad