Engineering Manager

Vaisesika Consulting; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Vaisesika Consulting in Bengaluru (Hybrid) seeks an Engineering Manager AI & Agile Delivery to lead cross-functional engineering teams. You will drive AI/ML initiatives and end-to-end product development using Agile and Scrum, collaborating with Product Owners and Architects to define roadmaps.

The role requires 8+ years in IT with strong AI/ML expertise, cloud/DevOps knowledge, and excellent stakeholder communication. Hybrid work model with a focus on delivery excellence.

Qualifications

• 8+ years of IT experience with engineering leadership.
• Strong understanding of AI/ML concepts and AI-driven product development.
• Hands-on experience with Agile/Scrum methodologies.
• Experience managing cross-functional and distributed teams.
• Excellent stakeholder management and communication skills.
• Knowledge of SDLC, DevOps, and cloud technologies.
• Experience with project planning, sprint management, and release delivery.

Responsibilities

• Lead and manage software engineering teams to deliver business-critical applications.
• Drive end-to-end product development using Agile and Scrum frameworks.
• Collaborate with Product Owners, Architects, and Stakeholders to define roadmaps.
• Lead AI/ML initiative implementation and integration into enterprise apps.
• Ensure adherence to engineering best practices, quality standards, and timelines.
• Coach and mentor team members to foster innovation and continuous improvement.
• Monitor project risks, dependencies, and resource planning.

Skills

AI

ML

Agile

Scrum

Leadership

Stakeholder Mgmt

SDLC

DevOps

Cloud

Job description

Job Title: Engineering Manager AI & Agile Delivery

Location: Bangalore (Hybrid)

Experience: 8+ Years

Job Summary

We are seeking an experienced Engineering Manager to lead cross-functional engineering teams in delivering scalable, high-quality software solutions. The ideal candidate should have strong expertise in AI-driven solutions, Agile methodologies, and Scrum practices, along with proven experience in team leadership, stakeholder management, and technology delivery.

Key Responsibilities

• Lead and manage software engineering teams to deliver business-critical applications.
• Drive end-to-end product development using Agile and Scrum frameworks.
• Collaborate with Product Owners, Architects, and Business stakeholders to define project roadmaps.
• Lead AI/ML initiative implementation and integration into enterprise applications.
• Ensure adherence to engineering best practices, quality standards, and delivery timelines.
• Coach and mentor team members, fostering a culture of innovation and continuous improvement.
• Monitor project risks, dependencies, and resource planning.

Required Skills

• 8+ years of overall IT experience with experience in engineering leadership roles.
• Strong understanding of Artificial Intelligence (AI), Machine Learning concepts, and AI-driven product development.
• Hands-on experience with Agile/Scrum methodologies.
• Experience managing cross-functional and distributed teams.
• Excellent stakeholder management and communication skills.
• Knowledge of software development lifecycle (SDLC), DevOps, and cloud technologies.
• Experience with project planning, sprint management, and release delivery.

Preferred Qualifications

• Scrum Master, PMP, SAFe, or Agile certifications.
• Exposure to Generative AI technologies and cloud platforms (Azure/AWS/GCP).
• Experience in enterprise product development environments.