About Tredence:Tredence is a global data science solutions provider founded in 2013 by

Shub Bhowmick, Sumit Mehra, and Shashank Dubey

focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 4500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

About the RoleWe are looking for an experienced and visionary

Senior

Generative AI Architect

with 12+ years of experience in AI/ML, including hands-on work with

LLMs (Large Language Models)

and

Generative AI solutions

. In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences.As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements.

Key ResponsibilitiesGenAI Solution Architecture & Design· Lead the design and development of scalable

GenAI solutions

leveraging

LLMs

,

diffusion models

, and





multimodal architectures

.· Architect end-to-end pipelines involving

prompt engineering

,

vector databases

,

retrieval-augmented generation (RAG)

, and

LLM fine-tuning

.· Select and integrate foundational models (e.g.,

GPT, Claude, LLaMA, Mistral

) based on business needs and technical constraints.Technical Strategy & Leadership· Define

GenAI architecture blueprints, best practices, and reusable components

for rapid development and experimentation.· Guide teams on

model evaluation, inference optimization

, and

cost-effective scaling strategies

.· Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks.

Collaboration & Delivery· Work with product owners, business leaders, and data teams to identify

high-impact GenAI use cases

across domains like customer support, content generation, document understanding, and code generation.· Support

PoCs, pilots, and production deployments

of GenAI models in secure, compliant environments.· Collaborate with MLOps and cloud teams to enable

continuous delivery, monitoring, and governance

of GenAI systems.

Required Qualifications & Experience·

Education:





Bachelor’s or master’s degree in computer science

, Artificial Intelligence, Data Science, or related technical field

. PhD is a plus.·

Experience:

12–15 years in AI/ML and software engineering, with

3+ years focused on Generative AI and LLM-based architectures

.

Core Skills· Deep expertise in

machine learning

,

natural language processing (NLP)

, and

deep learning architecture

.· Hands-on experience with

LLMs, transformers, fine-tuning techniques (LoRA, PEFT)

, and

prompt engineering

.· Proficient in

Python

, with libraries/frameworks such as

Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow

.· Experience with

vector databases

(e.g., Pinecone, FAISS, Weaviate) and

RAG pipelines

.· Robust understanding of

cloud-native AI architectures

(AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration.

Architectural & Leadership Skills· Proven ability to design and deliver

scalable, secure, and efficient GenAI systems

.· Strong communication skills for cross-functional collaboration and stakeholder engagement.a· Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem.Nice-to-Have· Experience with

multimodal models

(text + image/audio/video).· Knowledge of

AI governance, ethical AI, and compliance frameworks

.· Familiarity with

MLOps practices for GenAI

, including model versioning, drift detection, and performance monitoring.

Skills

Python, GenAI, System Design and Architecture, RAG, LLM, Agentic

📌 Senior Manager- GenAI Architect (Mumbai)
🏢 Tredence
📍 Mumbai