Engineering Manager

Please note that you may look for candidates with expertise in any coding/programming technologies such as .NET, Java, UI, Python, etc.

The designation is Associate Vice President , and we are specifically looking for a purely hands-on technical individual contributor with strong architecture and coding expertise .

Role: Engineering Manager (IC role)

Experience Required: 15+ years

Relevant Years of Experience: 9-12 years

Must Have:

Strong architecture experience

Hands-on coding expertise (Any programming language)

Experience in building applications

Minimum 1-2 years of experience in AI/ML, Generative AI, and Machine Learning

Should be from product/Start up organizations

Note:

Do not share any profiles from service organization (wipro, tech Mahindra, Infosys.etc), look from start up organization, and keep the exp range from 15-18 years.

Lets look for Non-banking, Non-Fintech folks. If fintech - look at Razorpay, Zeta etc which are Indian Fintech companies.

Non-oracle, non-RBS, non-EY folks please. Look for startup experience as much as possible in last 15yrs, atleast 10+ in startups. Notice period should not be more than 30days .

Work Location: Bangalore

Shift: General Shift

Budget: 60-62 LPA

Contribute to architecture and design decisions for AI-powered applications, GenAI solutions, LLM integrations, RAG pipelines, agentic workflows, APIs, and enterprise platforms.

• Partner with product managers, business stakeholders, and other BUs to understand requirements and translate them into technical delivery plans.

• Own engineering execution across design, development, testing, deployment, monitoring, and production support.

• Ensure solutions are scalable, secure, reliable, cost-efficient, and aligned with enterprise governance and responsible AI standards.

• Drive engineering best practices, code quality, design reviews, CI/CD, observability, documentation, and operational excellence.

• Manage stakeholder communication, delivery risks, dependencies, timelines, and technical trade-offs.

• Support adoption of reusable AI components, engineering accelerators, and agentic development practices across teams.

15+ years of engineering experience, including hands-on experience building enterprise applications or AI/ML-based systems.

• 6+ years of engineering leadership experience, managing or leading high-performing technical teams.

• Proven experience delivering AI, ML, GenAI, LLM, RAG, automation, or data-driven solutions in production.

• Strong background in software architecture, distributed systems, APIs, cloud platforms, DevOps, and modern engineering practices.

• Experience working with cross-functional stakeholders across product, business, architecture, security, data, and platform teams.

• Prior experience in enterprise, regulated, or large-scale technology environments is preferred.

Key Skills

• Engineering leadership and team mentoring

• AI/ML, GenAI, LLM, RAG, and agentic AI solution delivery

• Architecture and system design

• Stakeholder management and cross-BU collaboration

• Cloud, APIs, microservices, CI/CD, DevOps, and observability

• Agile delivery, roadmap execution, and risk management

• Strong communication, problem-solving, and ownership mindset

• Focus on scalability, reliability, security, governance, and business outcomes

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.