Company Overview:

Avahi is an AI systems integrator helping businesses put Cloud + AI to work.
We design, build, and integrate solutions that reduce manual work, improve operations, and bring new capabilities to your products. From AI strategy to cloud infrastructure, we connect the right technology to your data, applications, and workflows.
We’re an AWS Premier Tier Services Partner and an OpenAI Select Partner. We also partner with Anthropic as a Claude Select Services Partner and with ElevenLabs.

Our capabilities include:

- Custom AI development, assistants, and enterprise search
- AI agents, voice solutions, and workflow automation
- Systems integration, data pipelines, and document processing
- AI model, platform, and compute optimization
- Cloud migration, application modernization, and managed cloud services

Every engagement starts with your business goals. We select models and platforms based on your existing systems, security requirements, performance needs, and operating costs. A focused Proof of Value can help you assess business impact, quality, and cost before committing to production.
Our engineers, AI researchers, and cloud specialists work as an extension of your team, taking ownership from strategy through deployment and ongoing support. We help startups, SMBs, and mid-market organizations move quickly from idea to working solution.

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 chance 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.

📌 AI Architect (Bengaluru)
🏢 Avahi
📍 Bengaluru