Job Description

Role description

About the Role

We are looking for an experienced and visionary

Generative AI Architect

with 10-15 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 Responsibilities

GenAI 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

.

Skills

Core Skills

Deep expertise in

machine learning

,

natural language processing (NLP)

, and

deep learning architectures

. 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

. Strong 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. 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.

About Tredence

Welcome to Tredence! Since our founding in 2013, we have been dedicated to transforming data into actionable insights, helping over 50 Fortune 500 clients win in their respective industries. With our headquarters in San Jose and a presence in 5 countries, our mission is to be the world's most indispensable analytics partner. At Tredence, we blend deep domain expertise with advanced AI and data science to drive unparalleled business value. We are excited to have you join us on this innovative journey.