Solutions Architect

Location:

Work Experience:

About Us

RocketFrog.ai

Ready to take a Rocket Leap with Science?

Role Overview

Solution Architect

AI-based project

Key Responsibilities

• Lead end-to-end ownership of solution delivery

  for a client project (typically involving 2 to 3 scrum teams) — from requirement gathering and architecture to deployment and monitoring

• Design scalable system architectures

  combining modern full-stack frameworks, cloud infrastructure, and emerging AI components

• Make key architectural decisions

  around frameworks, patterns, and technology stacks to ensure performance, scalability, and maintainability

• Drive solution architecture during pre-sales

  , working closely with clients and internal teams to define compelling and feasible technical proposals

• Connect the dots

  across multiple technical and business threads — simplifying complexity and aligning stakeholders to a clear architectural vision

• Ensure production readiness

  with observability, security, performance tuning, and fault tolerance built-in

• Mentor development teams

  , review implementation approaches, and guide best practices across the stack

Required Skills & Expertise

A. Software Development & Architecture

• Strong

  full-stack development experience

  with hands-on expertise in

  React

  and

  Node.js

• Very good knowledge of at least one cloud environment

  such as

  AWS, Azure, or GCP

• Experience in system architecture and design

  — microservices, REST/gRPC APIs, messaging queues, event-driven systems
• Hands-on experience with

  CI/CD pipelines

  ,

  Docker

  ,

  Kubernetes

  , and

  infrastructure as code

• Strong programming skills in Python

  , with exposure to

  FastAPI

  ,

  Celery

  ,

  Redis

  , and

  Kafka

• Excellent communication and leadership skills to collaborate across engineering, product, and business teams

B. AI, ML & Agentic Systems (Experience in at least one of the following areas is desirable)

• Agentic AI concepts

  : cognitive agents, task planning, multi-agent orchestration (

  MCP

  ), agent-to-agent (

  A2A

  ) communication

• Cloud-native AI platforms

  such as

  Amazon Bedrock (Bedrock Flows, AgentCore)

  or

  Azure AI Foundry / Logic Apps

• LLM frameworks and ecosystems

  : LangChain, HuggingFace, OpenAI APIs, or

  RAG pipelines

• Machine learning fundamentals

  : model lifecycle, feature engineering, integration, or evaluation
• Exposure to

  Responsible AI

  ,

  explainability (SHAP/LIME)

  , or

  model observability

  (Prometheus, WhyLabs)

Required Background

• Bachelor’s or Master’s degree in Computer Science, AI, or a related technical discipline
• 8–15 years of total experience, including

  2–3+ years

  in solution architecture or technical leadership
• Proven delivery of at least one

  end-to-end production-grade solution

  (AI-driven preferred but not mandatory)

Why Join RocketFrog.ai?

• Lead the evolution of full-stack systems into

  AI-powered enterprise solutions

• Collaborate with elite AI and software engineering talent

• Be part of an innovation-driven team building real-world impact at the intersection of Cloud, AI, and Architecture

• 👉

  If you’ve built great systems and now want to build intelligent ones — let’s connect!