Up Gcp senior data engineer Jobs – 79 Open Jobs Today

Gen AI - Engineering Lead
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- Databases
Principal Software Engineer- Eng - JAVA + AI Architect
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- Software troubleshooting
[Software Services] : Technical Leader / Architect
Vinove —Noida, Uttar Pradesh
- Azure
- DevOps
- Master's degree
Quick apply
Machine Learning Engineer 4
Adobe —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- System design
Senior AI Architect
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Computer Science
- Salesforce
Staff Software Engineer- Eng
UKG (Ultimate Kronos Group) —Noida, Uttar Pradesh
- Azure
- Computer Science
- Software troubleshooting
240073-Assistant Vice President
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- AWS
- AI
AWS Data Architect
HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Azure
- DevOps
- Java
Software Engineer - Backend
CLOUDSUFI —Gautam Budh Nagar, Uttar Pradesh
- Azure
- Databases
- SQL
Quick apply
4d
Systems Integration Senior Specialist Advisor
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior Cloud Manager
DMI Housing Finance —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
- DevOps
- Windows
3d
Senior Cloud Manager
DMI Finance —Noida, Uttar Pradesh
- Full-time
- Microsoft Access
- DevOps
- Windows
3d
Technical Lead – Integration / Data Platforms (Enterprise Programs)
Solutionara Private Limited —Noida, Uttar Pradesh
- ₹10,00,000 - ₹18,00,000 a year
- Full-time
- Azure
- Oracle
- Computer Science
- Paid time off
- Paid sick time
Quick apply
Lead II, Software Development/Engineering
S&P Global —Noida, Uttar Pradesh
- Email
- Azure
- Oracle
- Computer Science
- Health insurance
- Paid time off
Java Developer
Damco Solutions —Noida, Uttar Pradesh
- Azure
- Computer Science
- Java
- Work from home
DevOps Intern
Fusionpact Career —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- B.Sc
- Flexible schedule
Quick apply
DC2025028 || Sr. QA Engineer || Noida
Droisys Inc —Unknown, Uttar Pradesh
- Azure
- Computer Science
- DevOps
Quick apply
Principal Software Engineer
TeamViewer Germany GmbH —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- System design
Quick apply
Senior Cloud DBA - PostgreSQL & Databricks Lakehouse
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
2d
Solution Engineer- Kyvos
Impetus Technologies —Noida, Uttar Pradesh
- Azure
- Java
- SQL

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Gen AI - Engineering Lead

EXL Service -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

Law
Computer Science
Master's degree
Databases
OS Kernels
AWS
Bachelor's degree
Machine learning
Data science
Business requirements
AI
Python
Data Science

Full job description

Job Description: We are seeking a highly skilled Senior Generative AI Engineer Lead to drive the design, development, and deployment of enterprise-grade Generative AI solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), prompt engineering, AI orchestration frameworks, cloud-native AI architectures, and model evaluation methodologies.

This role will lead the end-to-end lifecycle of GenAI initiatives, from translating business requirements into AI-powered prototypes to delivering scalable, production-ready solutions across AWS, GCP, and Snowflake ecosystems. The candidate will also establish engineering best practices around prompt governance, model guardrails, benchmarking, and performance optimization.

Responsibilities: Generative AI Solution Design

Architect and implement enterprise-scale GenAI solutions using LLMs, foundation models, and agentic AI frameworks.
Design reusable AI patterns, accelerators, and reference architectures to enable rapid solution development.
Translate business problems into scalable AI workflows and production-ready proof-of-concepts.
Drive AI platform modernization through adoption of emerging GenAI technologies and best practices.

Prompt Engineering & LLM Governance

Develop and maintain sophisticated prompt engineering frameworks for controlled and reliable LLM outputs.
Implement prompt versioning, prompt lifecycle management, and testing strategies.
Design AI guardrails to mitigate hallucinations, bias, security risks, and compliance concerns.
Establish best practices for prompt optimization, response consistency, and output quality management.

AI Workflow Orchestration & Automation

Design and build scalable orchestration pipelines using frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, or equivalent.
Develop reusable AI components, tools, agents, and workflow templates for enterprise adoption.
Implement multi-agent systems and autonomous workflows to support complex business use cases.

Prototyping & Business Enablement

Partner with business stakeholders to identify high-value AI opportunities.
Rapidly develop AI prototypes and MVP solutions using synthetic and enterprise datasets.
Convert prototypes into production-ready applications adhering to scalability, security, and reliability standards.

Cloud & Data Engineering

Build scalable GenAI architectures across AWS, GCP, and Snowflake platforms.
Leverage cloud-native AI services including Amazon Bedrock, SageMaker, Vertex AI, Snowflake Cortex AI, and related ecosystems.
Design robust RAG (Retrieval-Augmented Generation) architectures incorporating vector databases, embeddings, and semantic search.
Optimize model deployment, inference performance, and infrastructure cost efficiency.

Evaluation & Performance Optimization

Establish AI evaluation frameworks to measure accuracy, relevance, latency, safety, and business impact.
Develop benchmarking methodologies for comparing prompts, models, and workflows.
Define KPIs, observability frameworks, and monitoring strategies for GenAI applications.
Continuously improve model performance through prompt tuning, retrieval optimization, and workflow enhancements.

Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
8+ years of experience in software engineering, machine learning, data engineering, or AI solution development.
4+ years of hands-on experience with Generative AI, LLMs, and foundation models.
Strong experience designing enterprise GenAI solutions utilizing advanced LLM architectures and prompt frameworks.
Expertise in building scalable AI workflows, orchestration pipelines, and reusable AI components.
Proven ability to translate business requirements into production-ready AI solutions and prototypes using synthetic data.
Deep understanding of prompt versioning, prompt governance, guardrails, and controlled LLM outputs.
Hands-on experience with GCP, and Snowflake AI ecosystems.
Strong knowledge of AI evaluation frameworks, benchmarking methodologies, and optimization techniques.
Experience with vector databases, embeddings, semantic search, and RAG architectures.
Strong proficiency in Python and modern AI/ML development frameworks.

Apply Now

Refine Your Search

gcp senior data engineer jobs in up

Gen AI - Engineering Lead

Principal Software Engineer- Eng - JAVA + AI Architect

[Software Services] : Technical Leader / Architect

Machine Learning Engineer 4

Senior AI Architect

Staff Software Engineer- Eng

240073-Assistant Vice President

AWS Data Architect

Software Engineer - Backend

Systems Integration Senior Specialist Advisor

Senior Cloud Manager

Senior Cloud Manager

Technical Lead – Integration / Data Platforms (Enterprise Programs)

Lead II, Software Development/Engineering

Java Developer

DevOps Intern

DC2025028 || Sr. QA Engineer || Noida

Principal Software Engineer

Senior Cloud DBA - PostgreSQL & Databricks Lakehouse

Solution Engineer- Kyvos

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