AI Architect

Job Description – AI Architect (Generative & Agentic AI)

Position
: AI Architect

Experience
: 10–12 Years

Employment Type
: Full-time

About the Role

We are seeking an experienced
AI Architect
with deep expertise in
Generative AI (GenAI)
,
Agentic AI frameworks
, and advanced
Python development
. The ideal candidate will design, architect, and implement scalable AI solutions leveraging
LLMs, multi-agent systems, vector databases, and cloud-native AI platforms
. You will collaborate with cross-functional teams to drive innovation, design robust AI architectures, and deliver enterprise-grade AI products.

Key Responsibilities

• Architecture & Design
• Define end-to-end architecture for
  GenAI & Agentic AI solutions
  .
• Design scalable and secure AI pipelines including
  data ingestion, model training, fine-tuning, deployment, and monitoring
  .
• Architect multi-agent AI systems leveraging frameworks like
  LangChain, AutoGen, LlamaIndex, or similar
  .
• Hands-on Development
• Build and optimize AI applications in
  Python
  using frameworks such as
  PyTorch, TensorFlow, Hugging Face Transformers
  .
• Implement and integrate
  LLMs, embeddings, RAG (Retrieval-Augmented Generation), vector databases (Pinecone, FAISS, Weaviate, Milvus)
  .
• Develop
  autonomous AI agents
  for workflow automation, reasoning, and decision-making.
• Innovation & Strategy
• Evaluate and recommend emerging
  GenAI & Agentic AI frameworks, tools, and platforms
  .
• Define best practices for
  prompt engineering, model fine-tuning, safety, compliance, and governance
  .
• Collaborate with stakeholders to align AI solutions with
  business goals and enterprise architecture
  .
• Leadership & Mentoring
• Lead technical discussions and provide architectural guidance to engineering teams.
• Mentor data scientists, ML engineers, and software developers in AI best practices.
• Collaborate with product managers and business leaders on solution roadmaps.

Required Skills & Experience

• 10–12 years
  of experience in software engineering / AI solutions, with at least
  4+ years in AI/ML and GenAI
  .
• Strong expertise in
  Python
  and AI/ML frameworks (
  PyTorch, TensorFlow, Hugging Face
  ).
• Proven experience architecting
  Generative AI solutions
  (LLMs, diffusion models, multimodal AI).
• Hands-on experience with
  agent frameworks
  (LangChain, AutoGen, CrewAI, etc.) for building
  Agentic AI systems
  .
• Expertise in
  vector databases
  (Pinecone, FAISS, Milvus, Weaviate) and
  RAG architectures
  .
• Strong understanding of
  cloud platforms
  (AWS, Azure, GCP) and AI services (Bedrock, Vertex AI, OpenAI APIs).
• Knowledge of
  MLOps practices
  : CI/CD pipelines, monitoring, observability, and governance for AI systems.
• Experience with
  scalable distributed systems
  , API integration, and microservices architecture.
• Familiarity with
  data privacy, security, and ethical AI practices
  .
• Familiarity working with healthcare domain would be an added advantage

Preferred Skills

• Experience with
  multi-modal GenAI models
  (text, vision, speech).
• Knowledge of
  enterprise AI platforms
  (Databricks, Snowflake, Azure AI, AWS SageMaker).
• Contributions to
  open-source AI projects
  .
• Strong background in
  solution architecture
  and
  enterprise AI adoption strategies
  .

Education

• Bachelor's/Master's degree in
  Computer Science, AI/ML, Data Science, or related field
  .
• Certifications in
  AI/ML, cloud architecture, or Generative AI
  are a plus.