AI/ML & Data Architect | Trinity Consulting | Bangalore

Trinity Consulting; Bengaluru; On-site; INR 6,000,000 - 12,000,000; Full time

Job summary

Trinity Consulting in Bangalore is seeking an AI/ML & Data Architect to drive cloud-native data platforms and scalable lakehouse architectures.

You will lead the design and deployment of GenAI systems, MLOps pipelines, and RAG workflows using PySpark, Spark, and AWS, leveraging 15+ years of deep data engineering and AI experience. This on-site role offers high technical visibility and strong executive engagement within a premier product-driven ecosystem.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering or related field.
• 15+ years of progressive software engineering experience with data architecture and AI/ML.
• Hands-on expertise in Python, PySpark and Apache Spark distributed computing.
• AWS cloud infrastructure and enterprise data platforms experience.
• Experience designing and scaling ETL/ELT, data lakes and lakehouse architectures.
• Experience in ML engineering, MLOps, Generative AI, LLMs and RAG.
• Experience in scalable cloud-native system design, microservices and distributed data processing.
• Strong analytical, leadership, troubleshooting and stakeholder communication skills.

Responsibilities

• Architect, design, and deploy scalable cloud-native data platforms and distributed architectures.
• Build and maintain high-performance data pipelines using Python, PySpark, and Spark.
• Design and manage ETL/ELT workflows, data lakes, and lakehouse storage on AWS.
• Architect end-to-end AI/ML systems, MLOps pipelines and deployment frameworks.
• Integrate LLMs and RAG workflows into enterprise software.
• Establish data governance, security standards and compliance across clouds.
• Collaborate with executives, product and cross-functional engineering teams.
• Maintain documentation of architectures, data lineage and runbooks.

Skills

Python

PySpark

Apache Spark

AWS

Data architecture

MLOps

Generative AI

LLMs

RAG

Distributed systems

Leadership

Stakeholder communication

Education

Bachelor’s or Master’s degree in CS/AI/Data Eng

Tools

Kubernetes

Docker

LangChain

LlamaIndex

Pinecone

Milvus

Job description

Position Summary

Driving the next wave of intelligent enterprise architecture and large-scale data transformation, Trinity Consulting is partnering with an elite product-based client to recruit an accomplished AI/ML & Data Architect for an on-site role in Bangalore. In this visionary technical leadership position, you will architect, build, and scale robust cloud-native data platforms, high-performance lakehouse architectures, and advanced generative AI systems. Bringing over 15 years of progressive professional experience across data engineering, machine learning operations, and distributed computing, you will empower enterprise stakeholders to harness artificial intelligence at scale. This prestigious career opportunity offers competitive executive compensation, high technical visibility, and exceptional professional growth within a premier product-driven technology ecosystem.

Detailed Job Description

As an AI/ML & Data Architect supporting recruitment through Trinity Consulting in Bangalore, India, you will take full operational, architectural, and tactical ownership of enterprise data architecture, machine learning pipelines, and cloud-native GenAI integration. Your day-to-day responsibilities include designing distributed data engineering workflows using Python, PySpark, and Apache Spark, building secure ETL/ELT pipelines across modern AWS data platforms, and structuring robust data lakes and lakehouse repositories. You will also lead the deployment of cutting-edge AI/ML systems, MLOps frameworks, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures.

Key Responsibilities

• Architect, design, and deploy scalable cloud-native data engineering platforms and distributed architectures.
• Build, optimize, and maintain high-performance data pipelines utilizing Python, PySpark, and Apache Spark.
• Design and manage enterprise ETL/ELT workflows, data lakes, and modern lakehouse data storage systems on AWS.
• Architect end-to-end AI/ML systems, MLOps automation pipelines, and model deployment frameworks.
• Integrate Large Language Models (LLMs) and advanced Retrieval-Augmented Generation (RAG) workflows into enterprise software.
• Establish data governance, security standards, and compliance frameworks across distributed cloud environments.
• Collaborate seamlessly with executive stakeholders, product management, and cross-functional engineering squads.
• Maintain accurate, comprehensive technical documentation of system architectures, data lineage, and deployment runbooks.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical discipline.
• Minimum of 15+ years of progressive professional software engineering experience with deep expertise in data architecture and AI/ML.
• Strong, demonstrable hands-on professional expertise in Python, PySpark, and Apache Spark distributed computing.
• Comprehensive working knowledge and practical proficiency in AWS cloud infrastructure and enterprise data platforms.
• Deep practical experience designing and scaling ETL/ELT pipelines, data lakes, and modern lakehouse architectures.
• Solid practical experience in machine learning engineering, MLOps, Generative AI, LLMs, and RAG implementation.
• Proven expertise in scalable cloud-native system design, microservices, and distributed data processing.
• Exceptional analytical, strategic leadership, troubleshooting, and stakeholder communication capabilities.

Nice-to-Have Skills

• Professional certifications such as AWS Certified Solutions Architect – Professional or AWS Certified Data Analytics – Specialty.
• Prior professional working experience in top-tier product-based technology firms, enterprise SaaS companies, or AI research labs.
• Hands-on familiarity with vector databases (Pinecone, Milvus, Qdrant) and LLM orchestration frameworks (LangChain, LlamaIndex).
• Experience utilizing container orchestration platforms (Kubernetes, Docker) and CI/CD deployment automation pipelines.
• Exposure to agile software development methodologies and enterprise IT service management ticketing platforms (ServiceNow, Jira).

Application Information

• Salary/Rate: Market Competitive / Executive AI Architecture Package
• Deadline: Open until filled (Urgent Bangalore AI/ML Architect Opening)
• Notice Period: Immediate to 30 Days Preferred
• Contract Duration: Permanent / Full-Time On-Site Engagement (Bangalore)

Recruitment Pro Tip

When applying for this AI/ML & Data Architect position through Trinity Consulting, ensure your resume explicitly highlights your PySpark, AWS data lakehouse, and GenAI/RAG portfolio, and details your leadership in product-based engineering environments.