AI Technical Lead

Location:
Hybrid [Noida] / Remote

Work Experience:
8–15 Years

About Us

is an AI Studio for Business, delivering cutting-edge AI solutions in Healthcare, Pharma, BFSI, Hi-Tech, and Consumer Services industries. We specialize in Machine Learning, Deep Learning, and AI-driven Product Development to create real business impact.

Ready to take a Rocket Leap with Science?

Role Overview

We are seeking a
Sr. / AI Technology Lead
who brings strong
full-stack and cloud architecture experience
, with hands-on skills in
React
,

, and
Python
. You should be passionate about modern system design, have experience leading large-scale solution delivery, and demonstrate a genuine curiosity and enthusiasm to learn and build with
AI technologies
.

If you have already led or contributed to an
AI-based project
, that's a plus — but if not, a
strong learning mindset and readiness to experiment
is what we value most.

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
  
• 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

• 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