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Manager -AI Engineering

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Applied Systems India
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    IT Project Manager, AI Engineer
Job Description & How to Apply Below
Location: Bengaluru

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious, we know. That’s why at Applied Systems India Pvt Ltd., an Applied Systems company, we’re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers – all within a culture built on values that make us indispensable to each other too.

With 40+ years of experience in the Insurtech game, we’re not just redefining what’s achievable, we’re creating a place where amazing career moments are made possible.

Position Overview

We’re searching for a Manager - AI Engineering to join our AI Engineering team in Bengaluru location. To keep us headed in the right direction, we’re looking for people who understand winning is a team sport, who value and seek to learn from our team’s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun.

What You’ll Do

- Lead a team of engineers and data scientists to deliver a suite of AI-based services
- Provide professional and technical leadership with impactful guidance, coaching, and feedback
- Empower the team with clear goals and a data-informed approach to ensure excellence
- Identify opportunities for continuous improvement with the team
- Collaborate with Product Mgmt., Architecture, and other Engineering Leaders to define and plan work
- Monitor active work to manage risk, escalate blockers, and ensure delivery goals
- Collaborate with other internal teams to ensure alignment and achieve shared roadmap milestones

What You’ll Need to Succeed

Your experience should include:

- 8+ years of experience creating high quality and scalable solutions
- 8+ years of experience confirming requirements, technical designs, testing, and production readiness
- 3+ years managing engineering teams and providing feedback to ensure velocity and quality
- Must have Python, GEN AI, LLMs experience (good to have Langchain, Langgraph, Google ADK or any other agentic frameworks and supporting concepts like Tools, MCPs, RAG etc)
- Ability to provide coaching and guidance on software development best practices, Dev Ops, Security best practices, and cloud native architecture
- Technical leadership of Generative AI initiatives
- Knowledge of software development lifecycle methodology and testing practices
- Ability to recruit, develop, and retain technical teams

- Experience with Scrum practices and tools like Jira and Confluence
- Bachelor’s Degree in Computer Science, MIS, or CIS, or equivalent work experience

When You Join Team Applied, You Can Expect:

A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

Learn more about the people behind our products at –

- Linked In Page Applied Systems India

- Your Security Matters:

Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure  email or through our official career’s portal.

EEO Statement

- Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
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