Principle AI Architect

Principle AI Architect 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 Professional & 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