Ka Cio Jobs – 95 Open Jobs Today

Engagement Manager
Weekday —Bengaluru, Karnataka
- ₹25,00,000 - ₹45,00,000 a year
- Full-time
- Computer Science
- System design
- Master's degree
Quick apply
1d
Track Lead - Network LAN/WAN
HCLTech —Bengaluru, Karnataka
- Azure
- Analysis skills
- Leadership
1h
Enterprise Architect — Managed IT Services
CGI —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
- Paid time off
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Director – IT Infrastructure Services (Managed Services)
INOPTRA DIGITAL —Bengaluru, Karnataka
- Remote
- Azure
- Computer Science
- PMP
Quick apply
Project Manager
Persistent —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Project management
- Agile
- Flexible schedule
2d
SAP Engagement Manager- IBU
Capgemini Sogeti —Bengaluru, Karnataka
- Travel
- Manufacturing
- Communication skills
7d
FP&A -State Street IM Finance- Senior Manager
State Street —Bengaluru, Karnataka
- Full-time
14d
S&C GN - TS&T – Digital Foundations - Resilence - Senior Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Engineering
12d
Senior Program Manager – Enterprise ERP / CRM / SAP
Pratt & Whitney —Bengaluru, Karnataka
- Full-time
- Computer Science
- Salesforce
- Master's degree
- Flexible schedule
8d
Responsible AI Product Senior Analyst
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Bachelor's degree
- Travel
B2B Sales Executive
Lynkit —Bengaluru Rural District, Karnataka
- Full-time
- English
- Master's degree
- Bachelor's degree
- Health insurance
- Flexible schedule
Quick apply
Senior BDM/Associate Director BDM - US Sales
INOPTRA DIGITAL —Bengaluru, Karnataka
- Sales
- B.Sc
- Master's degree
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S&C GN - TS&T – Digital Foundations - Cloud - AWS - Senior Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
14d
Principal Client Executive
Unisys —Bengaluru, Karnataka
- Full-time
- Negotiation
13d
S&C GN - TS&T – Digital Foundations - Cloud - Infrastructure - Senior Manager
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
14d
Head of Enterprise Marketing
Sarvam —Bengaluru, Karnataka
- Full-time
- SQL
- Analysis skills
- Marketing
Quick apply
Senior Software Development Manager, Product Development
PhaseZero Technologies —Bengaluru, Karnataka
- Full-time
- Azure
- Microsoft Outlook
- Computer Science
- Health insurance
- Paid time off
Sales Manager/Business Development Officer
Golden Era Property —Bengaluru, Karnataka
- Email
- English
- Travel
- Communication skills
BUSINESS DEVELOPEMENT OFFICER
Golden Era Royal Group —Bengaluru, Karnataka
- Email
- English
- Travel
- Communication skills
Principal Software Engineer, Product Development
PhaseZero Technologies —Bengaluru, Karnataka
- Full-time
- Microsoft Outlook
- Computer Science
- Engineering
- Health insurance
- Paid time off

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Engagement Manager

Weekday -
Bengaluru, Karnataka

Quick apply

Job details

Full-time
₹25,00,000 - ₹45,00,000 a year
1 day ago

Qualifications

BCS
CI/CD
Business Management
Image processing
Cloud architecture
Computer Science
Spark
System design
Enterprise architecture
Master's degree
Databases
SQL
Bachelor's degree
Machine learning
Data management
Continuous integration
Natural language processing
APIs
Business Administration
Kafka
Metadata
Redshift
AI
MBA
Graph databases
Python
Analytics
Information Technology
Design patterns

Full job description

This role is for one of our clients

Company Name: Brillio
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level

Min Experience: 9+ years

Location: Bengaluru

JobType: full-time

Analytics, AI & Data Engineering Consulting Lead

Experience

10–15 years of experience in Analytics, AI, Data Engineering and Technology Consulting, with demonstrated success leading enterprise-scale transformations across multiple industries.

Role Summary

We are looking for a highly accomplished Analytics, AI & Data Engineering Consultant who combines deep technical expertise with strong consulting and business leadership capabilities. The ideal candidate should have started their career as a hands-on software/data engineer, evolved into leading enterprise analytics and AI programs, and now be capable of engaging CXOs to shape data and AI strategies.

This role requires someone equally comfortable discussing cloud architecture with engineers, statistical models with data scientists, and business transformation with executive stakeholders.

Key Responsibilities

Client Leadership & Consulting

Serve as the trusted advisor for senior client stakeholders including CIO, CDO, CTO, VP Engineering, and Business Leaders.
Lead consulting engagements from discovery through implementation and value realization.
Conduct business assessments, identify AI opportunities, and develop enterprise AI and Data roadmaps.
Drive executive workshops, hypothesis-driven problem solving, and strategic advisory engagements.
Translate business problems into scalable technology and analytics solutions.

AI & Advanced Analytics

Design and oversee enterprise AI solutions across Predictive Analytics, Machine Learning, Deep Learning, GenAI, and Agentic AI.
Lead development of forecasting, optimization, recommendation, computer vision, NLP, and anomaly detection solutions.
Build production-grade ML pipelines with MLOps best practices.
Guide experimentation, A/B testing, causal inference, statistical validation, and model governance.
Drive responsible AI, explainability, bias monitoring, and model observability.

Data Engineering & Modern Data Platforms

Managed and designed scalable data architectures across cloud platforms.
Lead implementation of modern data platforms using:
- Snowflake
- Databricks
- BigQuery
- Microsoft Fabric
- Redshift
Build enterprise-grade ELT/ETL pipelines using Spark, PySpark, SQL, dbt, Airflow, Dataflow, Kafka, and cloud-native services.
Drive Data Quality, Data Governance, Master Data Management, Metadata Management, and Data Catalog initiatives.
Optimize performance, scalability, and cost of cloud data platforms.

Generative AI & Agentic AI

Design enterprise GenAI applications using LLMs.
Architect Retrieval Augmented Generation (RAG) systems.
Build AI Agents capable of reasoning, planning, orchestration, and tool usage.
Develop multi-agent workflows for enterprise automation.
Implement prompt engineering, evaluation frameworks, guardrails, and AI governance.
Integrate vector databases, knowledge graphs, semantic search, and enterprise knowledge management.

Architecture & Engineering Leadership

Define enterprise architecture standards for AI and Analytics platforms.
Review solution architecture and engineering quality.
Guide engineering teams on scalable design patterns.
Drive API-first architecture and microservices-based AI deployment.
Lead CI/CD implementation for analytics and ML platforms.
Establish engineering best practices for reliability, security, observability, and maintainability.

Delivery Leadership

Lead cross-functional teams comprising Data Engineers, Data Scientists, ML Engineers, Architects, and BI Developers.
Own solution delivery, governance, risk management, and stakeholder communication.
Mentor technical teams and establish engineering excellence.
Drive innovation initiatives, accelerators, reusable assets, and AI platforms.

Business Development

Support pre-sales activities, solution design, and proposal development.
Lead client presentations, solution workshops, and executive demonstrations.
Develop reusable AI accelerators and industry-specific offerings.
Contribute to thought leadership through whitepapers, blogs, and conference presentations.

Required Technical Skills

Programming

Python
SQL
PySpark
Any BI tool

Leadership Expectations

The ideal candidate should demonstrate:

Strong engineering mindset with the ability to dive deep into technical discussions.
Ability to transition seamlessly between architecture, coding, consulting, and executive discussions.
Proven success managing teams of 20–100+ members across global delivery models.
Experience leading multi-million-dollar analytics and AI transformation programs.
Passion for mentoring and building high-performing engineering and consulting teams.

Desired Educational Background

Bachelor's degree in Computer Science, Information Technology, Electronics, Mathematics, Statistics, or a related engineering discipline from a premier engineering institution
MBA, PGDM, or equivalent management degree from a premier business school.

Ideal Candidate Profile

The successful candidate will have begun their career as a hands-on software or data engineer, with strong experience in coding, system design, and data platform implementation. Over time, they should have progressed into leading analytics, AI, and engineering teams while developing strong consulting, client engagement, and business leadership capabilities. They should be equally adept at writing production-grade code when required, architecting enterprise-scale solutions, and influencing executive stakeholders to drive measurable business outcomes. This blend of technical depth, consulting acumen, and strategic leadership is essential for the role.

About the company

About Brillio – Turning Disruptions into Competitive Advantages Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital, Brillio is one of the fastest growing digital technolo

Must-have skills

Client Engagement, Project Delivery, Technical Solution Design

Good-to-have skills

SQL, Python, PySpark

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Quick apply

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