Ai Architect (Xico)

Ai Architect (Xico)

22 ago
|
Avahi
|
Xico

22 ago

Avahi

Xico

Company Overview
Avahi is a trusted AWS Advanced Partner that helps businesses transform their operations with cloud-based solutions.
We are a dynamic and rapidly growing company known for its vibrant culture and innovative approach.
As an emerging player in the industry, we thrive on challenges and seek individuals who are enthusiastic about contributing to our exciting startup journey.
We are on the lookout for motivated go-getters who are ready to make a significant impact and be part of a team that values collaboration, creativity, and continuous learning.
Role Summary
We are looking for a seasoned AI Architect to join our growing AI & Cloud practice.
You will lead the design and implementation of intelligent systems powered by AWS AI services — with a particular focus on Amazon Bedrock, Bedrock Agents, and Open Search.
You will work closely with clients and cross-functional teams to deliver production-grade AI architectures that are secure, cost-efficient, and enterprise-ready.
Key Responsibilities
AI Architecture & Design
Architect end-to-end AI/ML solutions leveraging AWS Bedrock foundation models (Anthropic Claude, Amazon Titan, Meta Llama, Mistral, etc.)
Design multi-agent orchestration systems using Amazon Bedrock Agents, including agent action groups, knowledge bases, and guardrails
Define embedding pipelines, vector indexing strategies, and retrieval patterns for RAG (Retrieval-Augmented Generation) applications
Establish semantic and lexical search architectures using Amazon Open Search Service (including k-NN vector search and hybrid search)
Create architecture blueprints, decision records (ADRs), and technical reference designs for AI platformsAWS Cloud & Platform Engineering
Design and implement scalable cloud infrastructure on AWS using services such as Lambda, ECS/EKS, API Gateway, Step Functions, S3, and IAM
Integrate Bedrock workflows with AWS data services (Glue, Athena, RDS, Dynamo DB) and event-driven pipelines (Kinesis, SQS, Event Bridge)




Implement security best practices including VPC isolation, Private Link, KMS encryption, and fine-grained IAM policies for AI workloads
Drive infrastructure-as-code practices using AWS CDK, Cloud Formation, or TerraformTechnical Leadership
Act as the primary AI/ML architecture advisor to clients, translating business needs into actionable technical roadmaps
Lead proof-of-concept (Po C) development for AI features and present findings to engineering and executive stakeholders
Mentor development teams on prompt engineering, model evaluation, LLM fine-tuning, and responsible AI practices
Conduct architecture reviews and ensure adherence to AWS Well-Architected Framework principlesCollaboration & Delivery
Collaborate with product managers, data scientists, and software engineers throughout the software development lifecycle
Define and track AI solution KPIs including latency, accuracy, retrieval relevance, cost-per-query, and model hallucination rates
Produce detailed technical documentation, runbooks, and client-facing deliverablesRequired Qualifications
Core Experience
8+ years of software engineering or cloud architecture experience, with 3+ years focused on AI/ML or generative AI solutions
Proven hands-on expertise with Amazon Bedrock, including model invocation APIs, Bedrock Agents, Knowledge Bases, and Guardrails
Deep experience designing and operating Amazon Open Search Service clusters, including vector search (k-NN), index management, and relevance tuning
Strong proficiency in Python; familiarity with Lang Chain, Llama Index, or equivalent orchestration frameworks is a plus
Experience building and deploying RAG pipelines integrating foundation models with enterprise data sourcesAWS Expertise
AWS Certified Solutions Architect (Associate or Professional) strongly preferred; AWS Certified Machine Learning – Specialty is a plus
Solid understanding of AWS networking, identity, and security services in the context of AI workloads
Experience with multi-account AWS architectures (AWS Organizations, Control Tower) and enterprise-scale deployments

📌 Ai Architect (Xico)
🏢 Avahi
📍 Xico

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