AI Application Architect

About the Role

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

Proof of Concept (PoC) creation, guiding the transition to

production-grade systems

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

·       Experience with observability & evaluation platforms (Langfuse, LangSmith).

·       Familiarity with containerization (Docker, Kubernetes) and serverless computing.

·       Strong Python coding skills and experience with REST/gRPC API integrations.

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)