Hsr Layout Sector 1 Bengaluru Karnataka Head of workforce management Jobs – 116 Open Jobs Today

Enterprise Architect
HCLTech —Bengaluru, Karnataka
- Azure
- Master's degree
- Business development
2h
HR Specialist
Hello Mentor Private Limited —Bangalore City, Bengaluru, Karnataka
- ₹26,000 - ₹30,000 a month
- Urgently hiring
- Microsoft Word
- Microsoft Excel
- Public speaking
- Health insurance
- Life insurance
Quick apply
4d
HR Executive
RDS Digital —Bengaluru, Karnataka
- ₹28,000 - ₹30,000 a month
- Full-time
- Microsoft Office
- Master's degree
- Bachelor's degree
Quick apply
Accountant
Papaya Global —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- English
- Master's degree
Quick apply
Senior Engineer Reliability & MPC
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- English
- Communication skills
Sales Executive
Epoch Consulting —Bengaluru, Karnataka
- Full-time
- English
- Bachelor's degree
- Business Administration
Quick apply
Staff Software Engineer (Real Time/ Streaming Data Engineer)
Bazaarvoice —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- AWS
- Health insurance
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Engineering Leader
Ema —Bengaluru, Karnataka
- Full-time
- System design
- Master's degree
- AI
Director– Strategic M&A & Value Realisation
InMobi —Bengaluru, Karnataka
- Machine learning
- AI
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Lead Security Engineer
London Stock Exchange Group —Bengaluru, Karnataka
- Full-time
- Microsoft Excel
- Software troubleshooting
- Windows
- Health insurance
L2 Splunk DevOps Engineer
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- DevOps
- Windows
- Analysis skills
2d
Certification Engineer - Avionics & Cabin Electronics
Airbus India Private Limited —Bengaluru, Karnataka
- Email
- System design
- English
- Master's degree
Engineering Manager (Data engineer)
The Nielsen Company —Bengaluru, Karnataka
- Full-time
- Java
- SQL
- AWS
Quick apply
Principal Software Architect
Konovo —Bengaluru, Karnataka
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Health insurance
Principal Design
Unispace —Bengaluru, Karnataka
- Business development
- Project management
- Agile

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Enterprise Architect

HCLTech -
Bengaluru, Karnataka

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Job details

2 hours ago

Qualifications

CI/CD
Azure
Law
Master's degree
Business development
AWS
Continuous integration
AI
Leadership

Full job description

Bangalore, Karnataka
Job Summary

Job Description Capability Head – AI Engineering (Growth Markets 1) Minimum Eligibility: 10+ years of experience Technical Certifications in any one of AI Vendors Band: E6. Role Purpose The Capability Head – AI Engineering is responsible for establishing, leading, and scaling the AI Engineering capability across Growth Markets. The role drives AI solution industrialization, delivery excellence, capability development, sales enablement, governance, and innovation to accelerate AI adoption across customer engagements. The person will work closely with business leaders, account teams, delivery organizations, cloud ecosystems, and the central CTO AI organization to develop scalable, responsible, and commercially viable AI solutions that create measurable business outcomes. This role combines strategy, architecture leadership, capability building, innovation, sales support, governance, and operational excellence. Key Accountabilities 1. Capability Strategy & Leadership • Define and execute the AI Engineering capability strategy for Growth Markets. • Establish the vision, objectives, operating model, and roadmap for the capability. • Align regional AI priorities with business growth objectives and CTO AI strategy. • Build a sustainable AI talent ecosystem and capability maturity model. • Drive AI adoption at scale across customer accounts and internal initiatives. 2. AI Engineering & Industrialization • Establish reference architectures, design principles, standards, and reusable frameworks for AI, GenAI, ML, and Agentic AI solutions. • Drive industrialization of AI assets through reusable accelerators, templates, patterns, and MLOps practices. • Promote standardization, scalability, governance, and reusability across engagements. • Ensure delivery teams leverage established AI engineering practices. 3. Agentic AI & Intelligent Automation • Lead creation of intelligent agents and AI-enabled automation solutions. • Drive adoption of Agentic AI frameworks and productivity solutions. • Establish best practices for AI-enabled business workflows and autonomous systems. • Identify opportunities to improve operational efficiency through AI. 4. Sales & Go-To-Market Enablement • Support strategic pursuits, proposals, and RFP responses involving AI capabilities. • Create AI value propositions, solution offerings, case studies, and accelerators. • Partner with sales organizations to build pipeline and market differentiation. • Conduct executive-level client discussions, workshops, demonstrations, and innovation sessions. 5. Delivery Enablement & Governance • Provide technical governance and architecture oversight for AI engagements. • Conduct solution reviews and ensure adherence to engineering standards. • Support account teams in AI opportunity qualification and solution assurance. • Drive adoption of AI delivery playbooks, accelerators, and reusable assets. 6. Capability Development & Talent Management • Build and lead a high-performing AI Engineering team. • Establish competency frameworks, learning pathways, mentoring programs, and career tracks. • Drive workforce planning aligned to market demand and capability growth. • Promote certification, hands-on learning, hackathons, and community initiatives. 7. Responsible AI & Compliance • Ensure ethical, explainable, secure, and compliant use of AI technologies. • Implement governance frameworks defined by the CTO and global AI councils. • Promote responsible AI practices across all engagements. • Monitor compliance with AI governance standards and regulatory requirements. 8. Innovation & Ecosystem Collaboration • Partner with the CTO AI organization to adopt emerging technologies and shared intellectual property. • Evaluate new AI offerings and market opportunities. • Drive innovation initiatives, proof-of-concepts, and customer pilots. • Collaborate with hype

Key Responsibilities

Key Responsibilities
Business Leadership

Own capability growth, adoption, and market relevance.
Support revenue growth through AI-led opportunities.
Build AI-led transformation offerings for customers.
Serve as executive sponsor for key AI initiatives.

Technology Leadership

Define AI engineering standards and architecture principles.
Govern AI platform adoption and engineering practices.
Drive MLOps, GenAI, Agentic AI, and solution industrialization.

People Leadership

Lead architects, AI engineers, ML engineers, automation specialists, and capability leaders.
Build succession plans and leadership pipelines.
Develop communities of practice and knowledge-sharing forums.

Operational Leadership

Establish governance mechanisms, review boards, and KPI dashboards.
Track capability performance and maturity.
Drive continuous improvement and operational excellence.

Skill Requirements

Required Skills & Experience

Technical Expertise

Strong understanding of:

AI/ML Engineering
Generative AI
Agentic AI
Retrieval Augmented Generation (RAG)
LLM Fine-Tuning
MLOps Platforms
Data Engineering Foundations
Cloud AI Services (Azure, AWS, GCP)
DevOps, CI/CD, Containerization, and Platform Engineering
Responsible AI and AI Governance

Leadership Experience

Proven experience leading architecture, AI engineering, platform engineering, or technology

capability organizations.

Experience building and scaling multidisciplinary teams.
Demonstrated ability to influence senior business and technology stakeholders.
Experience supporting strategic pursuits and large transformation programs.

Consulting & Communication

Executive stakeholder management.
Solution storytelling and value articulation.
Business case development.
Customer-facing consulting and advisory skills.

Other Requirements
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head of workforce management jobs in hsr layout sector 1 bengaluru karnataka

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Engineering Leader

Director– Strategic M&A & Value Realisation

Lead Security Engineer

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Engineering Manager (Data engineer)

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