
Technology Architect
3 days ago
Job Description – Technology Architect (AI, Full Stack & Cloud)
Position:
Technology Architect
Experience:
8+ years (Full Stack Development & Architecture)
Location:
[Onsite- Chennai & bangalore]
About the Role
We are looking for a
hands-on Technology Architect
with strong expertise in
AI/ML, , Cloud platforms, and Full Stack development
. The ideal candidate should be able to
design, build, and deploy scalable applications end-to-end
, mentor teams, and drive technology strategy for products from concept to production.
Key Responsibilities
- Architecture & Design
- Define and implement scalable, secure, and high-performing system architectures.
- Lead end-to-end product development from design to deployment.
- Create best practices, coding standards, and architectural frameworks.
- Full Stack Development
- Build backend services using
and modern frameworks. - Develop responsive
front-end applications
(React/Angular/Vue). - Integrate APIs, third-party services, and AI/ML models into applications.
- AI/ML Expertise
- Apply AI/ML techniques (NLP, LLMs, predictive models, etc.) to real-world business problems.
- Deploy AI solutions into production-ready environments.
- Cloud, CDN & DevOps
- Architect and manage deployments on
AWS / Azure / GCP
. - Hands-on expertise in
Cloudflare, Akamai, and AWS CloudFront/CDN solutions
for content delivery at scale. - Ensure CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
- Optimize systems for
performance, security, and cost efficiency
. - Leadership & Collaboration
- Collaborate with product managers, designers, and developers to deliver innovative solutions.
- Mentor engineering teams and ensure high-quality delivery.
- Evaluate new technologies and provide thought leadership on adoption.
Required Skills & Qualifications
- Proven experience in
end-to-end app development and deployment
(concept → production). - Strong expertise in
, JavaScript/TypeScript, and front-end frameworks (React/Angular/Vue)
. - Experience with
AI/ML frameworks
(TensorFlow, PyTorch, Hugging Face, OpenAI APIs, LangChain, etc.). - Hands-on experience with
cloud platforms
(AWS, Azure, GCP) and microservices architecture. - Working knowledge of
CDNs (Cloudflare, Akamai, AWS CloudFront)
and web performance optimization. - Strong knowledge of
databases
(SQL, NoSQL, Graph DBs). - Experience with
DevOps tools
(Docker, Kubernetes, Terraform, Jenkins, GitHub Actions). - Solid understanding of system design, scalability, and security best practices.
- Excellent problem-solving, analytical thinking, and communication skills.
Preferred
- Prior experience building
AI-driven SaaS products
. - Exposure to
MLOps and data engineering pipelines
. - Ability to work in
startup / fast-paced environments
.
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