AI & Enterprise Application Architect

10 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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.

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:
  • 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:

Frontend

Backend

Mobile App Architecture

Cloud platforms

GPU infra for AI/GenAI

Databases

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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