
AI & Enterprise Application Architect
3 weeks ago
Job Title: AI & Enterprise Application
Architect
About the Role
We are looking for a highly skilled Architect who can lead the design and delivery of both
AI-powered systems (including Agentic AI and GenAI applications) and enterprise Line-of-
Business (LoB) applications.
This role requires a visionary leader who combines deep
technical expertise with business understanding, capable of designing end-to-end
solutions, recommending the right infrastructure, and building strong engineering teams.
You will be responsible for rapid
Proof of Concept (PoC) creation, guiding the transition to
production-grade systems
, and ensuring timely, high-quality delivery.
Key Responsibilities
- AI & Agentic System Architecture
- Architect
Agentic AI systems
, including LLM orchestration, workflows, RAG pipelines, and automation. - Evaluate and adopt modern AI frameworks, ensuring scalability and performance.
- LoB Application Architecture
- Independently architect
enterprise-grade applications
aligned with business needs. - Translate business workflows into scalable, secure, and maintainable technical solutions.
- Infrastructure Strategy (AI + GenAI Focus)
- Assess and recommend
infrastructure requirements specific to AI/GenAI applications
, including: - GPU clusters and accelerators for model training/inference.
- Vector databases, caching, and data pipelines for RAG workloads.
- Scalable storage and high-throughput networking for large model handling.
- Containerization (Docker, Kubernetes) for AI service orchestration.
- Cloud-native AI services (AWS Bedrock, Azure OpenAI, GCP Vertex AI) when suitable.
- Balance
performance, cost-efficiency, and security
for AI and enterprise systems. - Rapid PoC → Production Delivery
- Work closely with stakeholders to
understand business requirements
. - Be
proactive and fast in building PoCs
to validate ideas. - Convert PoCs into
production-ready deliverables
across AI and non-AI domains. - Team Leadership & Delivery
- Build, mentor, and scale high-performing engineering teams.
- Drive
scrums, sprint planning, and agile delivery practices
. - Ensure
on-time, quality-driven delivery
of all initiatives. - Engineering Excellence
- Establish and enforce
core engineering practices
(CI/CD, testing, code reviews, documentation). - Collaborate across teams to ensure alignment of technical design with business strategy.
Requirements
- 10+ years
of experience in software engineering, with 5
+ years in architecture leadership roles
. - Strong background in
AI/ML systems
and
enterprise software architecture
. - Hands-on expertise in:
o
Frontend
: React / React Native (for both web and mobile applications).
o
Backend
: , APIs, microservices architecture.
o
Mobile App Architecture
: Android/iOS app delivery, integration with enterprise backends.
o
Cloud platforms
(AWS, Azure, GCP)
o
GPU infra for AI/GenAI
(NVIDIA A100/A6000 clusters, model serving stacks)
o
Databases
(SQL/NoSQL, vector databases like Pinecone/Weaviate/FAISS)
o
APIs, microservices, containerization (Docker, Kubernetes)
- Proven ability to
design LoB applications independently
. - Experience in
rapid PoC creation → production transition
. - Strong business understanding; ability to translate business needs into scalable systems.
- Excellent leadership, collaboration, and communication skills.
Nice to Have
- Experience with
LLM orchestration tools
(LangChain, LlamaIndex, AutoGen, etc.). - Exposure to
enterprise CRM/ERP/CCaaS solutions
. - Prior experience delivering
AI + business applications
in large enterprise environments.
Why Join Us?
- Lead architecture for
both AI-driven systems and LoB applications
. - Work on
cutting-edge AI adoption
while ensuring strong enterprise system design. - Build and mentor your own team, shaping the future of enterprise transformation.
- Own the
full cycle from PoC → enterprise-grade delivery
across multiple domains.
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