AI Application Architect

About the Role

We are seeking a talented engineer to

drive the design, deployment, and continuous improvement of agentic AI applications

• . You will own the full lifecycle of agent frameworks, including toolchain architecture, prompt engineering, data integration, and observability, ensuring production-grade AI agents.

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 :

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.

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 roles

Strong background in

AI / ML systems

and

enterprise software architecture

Hands-on expertise in :

LLM orchestration tools

(LangChain, LlamaIndex, AutoGen, etc.).

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.

Key Skills – AI Application Architect

AI / ML solution architecture

Agentic AI concepts and implementations

LangChain or similar LLM application frameworks

Python, .NET Core / C#

Azure (incl. Azure AI, Azure ML, ADF, Functions, Databricks)

API design & integration (REST)

MLOps practices & tools (MLflow, Azure ML)

Containerization (Docker, Kubernetes) and Microservices architecture

CI / CD with Azure DevOps

Data engineering fundamentals (ETL / ELT)

Architecture design (scalability, performance, security)