Ramamurthy Nagar Bengaluru Karnataka Manager solution architect/ai enablement Jobs – 93 Open Jobs Today

Principal Engineer
CoffeeBeans Consulting —Bengaluru, Karnataka
- Full-time
- Azure
- Master's degree
- SQL
Senior Functional consultant - Servicenow
Philips —Bengaluru, Karnataka
- Full-time
- Computer Science
- English
- Bachelor's degree
Brand & Marketing Leader
Avathon —Bengaluru, Karnataka
- Call employer
- Marketing
- Salesforce
- Master's degree
- Health insurance
- Paid time off
Quick apply
10d
Software Engineer E5 - Enterprise Search
Whatfix —Bengaluru, Karnataka
- System design
- Java
- SharePoint
- Work from home
Quick apply
Cloud Engineer - GCP & Databricks
Valtech Group —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Senior QA Engineer, Salesforce
Flywire —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- Bachelor's degree
Quick apply
4d
Principal Engineer
Cisco Systems —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- System design
4d
Computer Scientist II
Adobe —Bengaluru, Karnataka
- Full-time
- Computer Science
- Databases
- AWS
4d
SAP BASIS Administration with SAP ECS experience
Kyndryl —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Oracle
- Java
12d
Engineer Sr., Data
Giant Eagle —Bengaluru, Karnataka
- Azure
- Computer Science
- DevOps
- Paid holidays
Senior Data Engineer II
Fidelity International —Bengaluru, Karnataka
- Full-time
- Oracle
- DevOps
- Java
Product Marketing Senior Lead -(Data Governance & Privacy)
Salesforce —Bengaluru, Karnataka
- Full-time
- Management
- Salesforce
- Master's degree
2d

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Principal Engineer

CoffeeBeans Consulting -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Data modelling
Azure
Cloud architecture
Law
NoSQL
AWS Certified Solutions Architect – Associate
Master's degree
Microservices
SQL
AWS
Terraform
Kafka
Metadata
Redshift
Solution architecture
AI
Communication skills
Design patterns

Full job description

ob Title: Principal Engineer
Location: Bangalore, India (Hybrid)
Experience: 10+ years
Reports to: CTO

About Us
CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency.
We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.

Key Responsibilities
Solution Architecture

Engage with clients to understand business goals, technical constraints, and AI/data maturity.
Translate requirements into scalable solution blueprints across tech stack and infrastructure.
Expert in microservices and design patterns. data, analytics, AI, and cloud.
Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
Ensure designs meet security, compliance, and governance requirements.

Data Architecture & Engineering

Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.
Define data models, metadata management, and master data strategies.
Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).

AI & MLOps Enablement

Integrate ML/Gen AI solutions into the data platform architecture.
Work with Data Scientists to operationalize AI models using MLOps best practices.
Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.

Leadership & Delivery

Provide technical leadership to engineering teams.
Review designs, code, and deployment plans for quality and scalability.
Work closely with client stakeholders, delivery managers, and CTO to ensure success.

Required Skills & Experience

12+ years in data engineering, data architecture, or solution architecture roles.
Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
Knowledge of data governance, security, and compliance frameworks.
Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
Strong communication and client-facing skills.

Good to Have

Experience in BFSI, Retail, or Healthcare domains.
Certification in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, etc.).
Exposure to business consulting and pre-sales solutioning.

Why CoffeeBeans?

Work with cutting-edge AI and data projects across industries.
Be part of a fast-growing AI-first consulting company.
Flexible, collaborative, and innovation-driven culture.

2:40

Engage with clients to understand business goals, technical constraints, and AI/data maturity.
Translate requirements into scalable solution blueprints across tech stack and infrastructure.
Expert in microservices and design patterns. data, analytics, AI, and cloud.
Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
Ensure designs meet security, compliance, and governance requirements.

Data Architecture & Engineering

Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.
Define data models, metadata management, and master data strategies.
Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).

AI & MLOps Enablement

Integrate ML/Gen AI solutions into the data platform architecture.
Work with Data Scientists to operationalize AI models using MLOps best practices.
Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.

Leadership & Delivery

Provide technical leadership to engineering teams.
Review designs, code, and deployment plans for quality and scalability.
Work closely with client stakeholders, delivery managers, and CTO to ensure success.

Required Skills & Experience

12+ years in data engineering, data architecture, or solution architecture roles.
Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
Knowledge of data governance, security, and compliance frameworks.
Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
Strong communication and client-facing skills.

Good to Have

Experience in BFSI, Retail, or Healthcare domains.
Certification in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, etc.).
Exposure to business consulting and pre-sales solutioning.

Why CoffeeBeans?

Work with cutting-edge AI and data projects across industries.
Be part of a fast-growing AI-first consulting company.
Flexible, collaborative, and innovation-driven culture.

2:40

Job Title: Principal Engineer
Location: Bangalore, India (Hybrid)
Experience: 10+ years
Reports to: CTO

About Us
CoffeeBeans Consulting is a tech consulting firm focused on making organizations AI-ready by structuring their data efficiently across various sources and enabling AI-driven solutions. We specialize in data architecture, pipelines, governance, MLOps, and Gen AI solutions, helping clients achieve faster go-to-market and cost efficiency.
We are looking for a Principal Engineer who can design and implement complex solutions that are scalable, future-proof and AI led.

Key Responsibilities
Solution Architecture

Engage with clients to understand business goals, technical constraints, and AI/data maturity.
Translate requirements into scalable solution blueprints across tech stack and infrastructure.
Expert in microservices and design patterns. data, analytics, AI, and cloud.
Define end-to-end architecture covering ingestion, storage, processing, analytics, ML/AI, and visualization.
Ensure designs meet security, compliance, and governance requirements.

Data Architecture & Engineering

Architect modern data platforms (data lakes, lakehouses, warehouses) using tools like Databricks, Snowflake, BigQuery, Redshift, etc.
Design robust ETL/ELT pipelines, streaming architectures, and real-time analytics solutions.
Define data models, metadata management, and master data strategies.
Implement data governance frameworks (e.g., CDMC, DAMA DMBOK).

AI & MLOps Enablement

Integrate ML/Gen AI solutions into the data platform architecture.
Work with Data Scientists to operationalize AI models using MLOps best practices.
Evaluate LLM integration, vector databases, and AI agents within enterprise architectures.

Leadership & Delivery

Provide technical leadership to engineering teams.
Review designs, code, and deployment plans for quality and scalability.
Work closely with client stakeholders, delivery managers, and CTO to ensure success.

Required Skills & Experience

12+ years in data engineering, data architecture, or solution architecture roles.
Hands-on expertise in cloud platforms (AWS, GCP, Azure) and IaC (Terraform, CloudFormation).
Strong knowledge of data modeling, SQL/NoSQL databases, streaming tech (Kafka, Pub/Sub, Kinesis).
Proven experience with Databricks, Snowflake, or equivalent modern data stack tools.
Knowledge of data governance, security, and compliance frameworks.
Familiarity with AI/ML architectures, MLOps tools (MLflow, Kubeflow), and Gen AI frameworks (LangChain, RAG pipelines).
Strong communication and client-facing skills.

Good to Have

Experience in BFSI, Retail, or Healthcare domains.
Certification in cloud architecture (AWS Solutions Architect, GCP Professional Data Engineer, etc.).
Exposure to business consulting and pre-sales solutioning.

Why CoffeeBeans?

Work with cutting-edge AI and data projects across industries.
Be part of a fast-growing AI-first consulting company.
Flexible, collaborative, and innovation-driven culture.

Apply Now

Refine Your Search

manager solution architect/ai enablement jobs in ramamurthy nagar bengaluru karnataka

Principal Engineer

Senior Functional consultant - Servicenow

Brand & Marketing Leader

Software Engineer E5 - Enterprise Search

Cloud Engineer - GCP & Databricks

Senior QA Engineer, Salesforce

Principal Engineer

Computer Scientist II

SAP BASIS Administration with SAP ECS experience

Engineer Sr., Data

Senior Data Engineer II

Product Marketing Senior Lead -(Data Governance & Privacy)

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