Ai Lead (Bengaluru)

Ai Lead (Bengaluru)

03 Aug
|
Weekday AI
|
Bengaluru

03 Aug

Weekday AI

Bengaluru

This role is for one of the Weekday's clients
Salary range: Rs ******* - Rs ******* (ie INR ***** LPA)
Min Experience: 6 years
Location: Bengaluru
JobType: full time
We are seeking an experienced
AI Lead
to architect, design, and deliver scalable
Generative AI (GenAI)
solutions that drive enterprise innovation. This role involves leading the development of advanced AI workflows using cutting-edge technologies such as
Temporal, pgvector, and Apache AGE
, while ensuring reliability, performance, and compliance across AI systems.
Key Responsibilities:
Architect and design scalable GenAI solutions
, leveraging Temporal for workflow orchestration and seamless system integration.
Develop and optimize retrieval-augmented generation (RAG) pipelines
using pgvector for similarity search and Apache AGE for graph-based reasoning.
Collaborate cross-functionally
with data scientists, ML engineers, and product teams to deliver impactful AI-driven business solutions.
Define and implement
best practices, reusable frameworks, and architectural patterns
to ensure performance, scalability, and maintainability of GenAI applications.




Evaluate and integrate emerging GenAI models, orchestration techniques, and AI services
to accelerate adoption across enterprise use cases.
Uphold
data privacy, security, and compliance
throughout AI workflows, deployments, and integrations.
Required Skills & Experience:
6–12 years of total experience
with a strong balance of technical expertise and business understanding.
Proven experience in
Generative AI architecture
and applied machine learning workflows.
Proficiency in
Temporal
for orchestrating distributed and complex workflows.
Hands-on experience with
vector databases
and
embeddings
, particularly pgvector.
Practical knowledge of
graph databases
, ideally Apache AGE, for knowledge graph and reasoning applications.
Strong programming background in
Python
with solid software engineering principles.
Deep understanding of
LLM fine-tuning, RAG pipelines, prompt engineering
, and
scalable model deployment strategies.

📌 Ai Lead (Bengaluru)
🏢 Weekday AI
📍 Bengaluru

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