Job Description

Job Title : Senior GenAI Consultant / Architect

Experience : 10-15 Years (Overall IT & Data/AI experience)

Employment Type : Contract 6 month + ext.

Location : Noida

Role Summary

We are seeking a highly experienced

Senior GenAI Consultant / Architect

to lead the design, advisory, and implementation of enterprise-grade Generative AI solutions. This role requires deep hands-on expertise across LLMs, GenAI architectures, and cloud platforms, along with strong client-facing and solution ownership capabilities.

The ideal candidate will act as a

trusted AI advisor

, translating complex business problems into scalable GenAI solutions and driving initiatives from

use-case discovery and POC through production deployment

. While people management is not mandatory,

technical mentoring and design leadership

are critical.

Key Responsibilities

GenAI Solution Architecture & Delivery

Design and own

end-to-end GenAI solutions

, including architecture, data pipelines, model integration, and deployment patterns Define

enterprise GenAI reference architectures

aligned with scalability, security, performance, and compliance requirements Lead GenAI initiatives from

ideation, POC, MVP, to production rollout

Identify high-impact GenAI use cases across business functions and industries
Large Language Models & Advanced AI

Hands-on experience with

LLMs

such as OpenAI, Azure OpenAI, Anthropic, and open-source models (LLaMA, Mistral, etc.) Implement

prompt engineering

, prompt optimization, fine-tuning, and evaluation strategies Design and deploy

RAG (Retrieval-Augmented Generation)

pipelines using embeddings and vector databases Apply regression models, forecasting techniques, and

time-series analysis

where GenAI integrates with predictive analytics Perform model selection, validation, performance tuning, and monitoring
Data Engineering & AI Infrastructure

Design data ingestion pipelines for

structured and unstructured data

(documents, images, logs, audio, etc.) Work with

vector databases

, feature stores, and embedding frameworks Build API-driven, containerized GenAI solutions using

Docker/Kubernetes

Ensure observability, cost optimization, and scalability of AI workloads
Cloud & Platform Expertise

Architect and deploy GenAI solutions on

AWS, Azure, and/or GCP

Utilize cloud-native AI/ML and GenAI services effectively Implement secure, compliant, and production-grade AI systems in enterprise environments
Client Advisory & Stakeholder Engagement

Lead

client advisory engagements

, requirement discovery sessions, and solution workshops Translate business challenges into actionable AI strategies and technical designs Communicate complex AI concepts clearly to business and technical stakeholders Support pre-sales, proposals, architecture reviews, and executive presentations
Technical Leadership & Collaboration

Act as

solution design owner

for GenAI initiatives Provide

technical mentoring

to engineers, data scientists, and AI practitioners Collaborate cross-functionally with product, data, engineering, and business teams Establish GenAI best practices, standards, and reusable frameworks

Mandatory Skills & Qualifications

Core Technical Skills

Enterprise GenAI architecture and solution design LLMs: OpenAI, Azure OpenAI, Anthropic, and open-source models Prompt engineering, fine-tuning, embeddings, and RAG frameworks Regression, forecasting, time-series analysis, and model validation Data ingestion pipelines, vector databases, feature stores Cloud platforms:

AWS / Azure / GCP

Containerization and API-based architectures
Consulting & Soft Skills

Strong

client-facing and advisory experience

Proven ability to translate business requirements into AI-driven solutions Excellent communication and stakeholder management skills Ownership mindset with end-to-end solution responsibility Technical mentoring and cross-team collaboration
Good to Have

Experience with AI governance, responsible AI, and security controls Familiarity with MLOps / LLMOps frameworks Exposure to regulated or large enterprise environments Published thought leadership, blogs, or conference talks in AI/GenAI
Job Type: Contractual / Temporary
Contract length: 6 months

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Application Question(s):

Do you have 10+ years of experience in Gen AI Architecture ? Do you have experience in design of end-to-end GenAI solutions, enterprise GenAI architecture, use-case identification ? Do you have deep experience with LLMs (OpenAI, Azure OpenAI, Anthropic, open-source), prompt engineering, fine-tuning, RAG, embeddings ? Do you have experience in regression models, forecasting, time-series analysis, model selection & validation ? Do you have experience in data ingestion, vector databases, feature stores, unstructured data handling ? Do you have experience in AWS / Azure / GCP GenAI services, containerization, API-based architectures ?
Work Location: In person