AI & Enterprise Application Architect

1 day ago


Gurugram, India RMT Engineering Full time

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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