Senior Manager - AI Core Services Development

AVEVA; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Medical and accidental insurance

Childcare support

Education assistance program

Well-being support

Job summary

A leading industrial software company seeks a Senior Manager for AI Core Services Development in Bengaluru. This role requires over 15 years of software engineering experience and extensive knowledge of AI and cloud-native services. You'll manage a Scrum team, oversee the architectural design of scalable services, and provide technical mentorship. The position offers a hybrid work model with a range of employee benefits including medical insurance and educational assistance.

Qualifications

• Proficient in securing APIs and managing data privacy practices.
• Experience leading technical teams and mentoring.
• Strong expertise in securing API management.

Responsibilities

• Oversee architectural design of cloud-native services.
• Provide technical guidance to development teams.
• Translate business requirements into technical specifications.

Skills

Experience with Large Language Models (LLMs)

Understanding of Retrieval-Augmented Generation (RAG)

Strong knowledge of ML algorithms

Experience in Python and AI frameworks

RESTful API design

Experience in Agile teams

Mentoring junior team members

Excellent problem-solving skills

Education

15+ years of experience in software engineering

Hands-on experience with Microsoft Azure

Tools

Microsoft Azure

GitHub Copilot

PyTorch

TensorFlow

Job description

AVEVA is creating software trusted by over 90% of leading industrial companies.

Job Title: Senior Manager - AI Core Services Development

Location: Bangalore, India

Job Type: Regular, Full-Time

Reports To: R&D Director/VP - AI Core Services Development

We are looking for passionate and hands‑on technical managers to join our Core AI Services team. In this role, you will help deliver the long‑term vision, strategy and roadmap for the AI platform services, ensuring alignment with the overall company product strategy and business objectives with the help of your team. The overall aim is to design, develop, and scale AI‑enabling platform services and public APIs that are secure, reliable, and cloud‑native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem.

You will manage a Scrum team to build innovative, standards‑compliant, secure and production‑grade AI capabilities, with a builder mindset – rapid prototyping and continuous improvement with agility of a start‑up.

Key Responsibilities

• Oversee the architectural design of scalable, fault‑tolerant cloud‑native services on Microsoft Azure, ensuring high performance and reliability.
• Provide technical guidance and mentorship to the development and testing teams, acting as a trusted escalation point for complex technical challenges.
• Translate high‑level business requirements from portfolio into clear actionable technical requirements and features for the AI platform.
• Manage the platform’s backlog and make decisions on release cycles and service enhancements.
• Embed robust security controls to protect sensitive data and ensure secure access to AI services.
• Lead, mentor and grow a high‑performing team of AI Platform developers and testers, fostering a culture of continuous learning, and contribute to a culture of innovation.
• Conduct performance reviews and support career development for team members.
• Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
• Identify and mitigate technical, operational, and security risks associated with the AI platform.
• Ensure compliance with relevant industry regulations, internal policies, and data governance standards, particularly concerning data privacy and AI ethics.

AI & Cloud Expertise

• Experience working with Large Language Models (LLMs) and understanding of trade‑offs between performance, cost, and capability.
• Understanding of Retrieval‑Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
• Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
• Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning).
• Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
• Fluent in developing code using AI Tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks.
• Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel.
• Experience with tools for automated testing and evaluation of AI outputs is a plus.
• Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow.

Core Skills and Qualifications

• 15+ years of experience in software engineering, preferably in platform or cloud‑native service development using Microsoft and .NET technologies.
• Hands‑on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management).
• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
• Proficient in securing APIs, managing authentication/authorization and data privacy practices.
• Experience leading technical teams, mentoring, performance management.
• Should be experienced in planning, scheduling, resource allocation, risk management, and stakeholder communication.
• Excellent verbal and written communication skills for interacting with developers, testers, product teams, and senior management.
• Excellent problem‑solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
• Experience working in Agile teams and collaborating across global R&D locations.
• Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation.
• Demonstrated experience with AI frameworks, tools and Python.

Benefits

India Benefits include: Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set‑up support (for hybrid roles), well‑being support.

Hybrid Working

By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office‑based. Roles supporting particular customers or markets are sometimes remote.

Drug Screening and Background Check

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third‑party personal data may involve additional background check criteria.

Equal Opportunity Employer

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case‑by‑case basis.