AI Architect at Avahi

Job description

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 OpenSearch. 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 OpenSearch Service (including k-NN vector search and hybrid search) Create architecture blueprints, decision records (ADRs), and technical reference designs for AI platforms AWS 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, DynamoDB) and event-driven pipelines (Kinesis, SQS, EventBridge) Implement security best practices including VPC isolation, PrivateLink, KMS encryption, and fine-grained IAM policies for AI workloads Drive infrastructure-as-code practices using AWS CDK, CloudFormation, or Terraform Technical Leadership Act as the primary AI/ML architecture advisor to clients, translating business needs into actionable technical roadmaps Lead proof-of-concept (PoC) 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 principles Collaboration & 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 deliverables Required 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 OpenSearch Service clusters, including vector search (k-NN), index management, and relevance tuning Strong proficiency in Python; familiarity with LangChain, LlamaIndex, or equivalent orchestration frameworks is a plus Experience building and deploying RAG pipelines integrating foundation models with enterprise data sources AWS 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 Why Work Here Remote-First Flexibility: Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere. Innovative Culture: We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions. Career Development: Avahi is committed to your growth, offering mentorship and opportunities to advance your career. Purpose-Driven Mission: Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices. Global Collaboration: Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact. Accessibility and Inclusivity Statement At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities. We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.

Requirements

Must-haves

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 OpenSearch Service (including k-NN vector search and hybrid search)
Create architecture blueprints, decision records (ADRs), and technical reference designs for AI platforms
AWS 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, DynamoDB) and event-driven pipelines (Kinesis, SQS, EventBridge)
Implement security best practices including VPC isolation, PrivateLink, KMS encryption, and fine-grained IAM policies for AI workloads
Drive infrastructure-as-code practices using AWS CDK, CloudFormation, or Terraform
Technical Leadership
Act as the primary AI/ML architecture advisor to clients, translating business needs into actionable technical roadmaps
Lead proof-of-concept (PoC) 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 principles
Collaboration & 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 deliverables
Core Experience
8+ years of software engineering or cloud architecture experience, with 3+ years focused on AI/ML or generative AI solutions

Nice-to-haves

Strong proficiency in Python; familiarity with LangChain, LlamaIndex, or equivalent orchestration frameworks is a plus
AWS Certified Solutions Architect (Associate or Professional) strongly preferred; AWS Certified Machine Learning – Specialty is a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: bamboohr
Effort: medium