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Aveva
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Senior Engineering Manager - AL/ML Platform

Senior Engineering Manager - AL/ML Platform

Aveva

10 - 15 years

18 - 22 Lacs

hyderabad bengaluru

Posted:None| Platform:

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Skills Required

python software testing rest api design artificial intelligence ml algorithms rest algorithms github life cycle management automation testing aks microsoft azure engineering management tensorflow pytorch scrum software engineering api agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

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 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 AVEVAs 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 platforms 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:

10+ years of experience in software engineering, including 35 years leading technical teams, and hands-on experience building cloud-native or AI platform services.
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

Hybrid working

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Senior Engineering Manager - AL/ML Platform