Packaged/SaaS App Engineering Lead

Accenture in India

Mumbai

On-site

INR 800,000 - 1,500,000

Full time

14 days+

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Job summary

Accenture in India seeks an Enterprise Architect to shape our technology landscape by designing scalable, future-ready software solutions. You will apply modern frameworks, AI-native stacks, and agile methods to ensure architectures align with business objectives and vendor constraints.

You will lead multi-cloud initiatives across AWS, Azure, and GCP, mentor teams, and drive AI-led SDLC practices to accelerate delivery and improve quality.

Qualifications

  • Proven proficiency in Enterprise Architecture Strategy with extensive experience.
  • Experience designing scalable, business-aligned software architectures.
  • Hands-on coding in Java, Python or C# and ability to review and optimize.
  • Experience with AI-native development and large language models (LLMs).
  • Cloud expertise across AWS, Azure and GCP for multi-cloud deployments.

Responsibilities

  • Serve as SME in Enterprise Architecture with deep domain knowledge.
  • Provide strategic advisory to leadership and cross-functional teams.
  • Own critical decisions and drive consensus among stakeholders.
  • Collaborate across teams to shape enterprise-wide architectural strategies.
  • Deliver scalable solutions spanning multiple systems and teams.
  • Lead evaluation and integration of emerging technologies including AI-native stacks.
  • Drive AI-led SDLC practices to accelerate delivery and enhance quality.
  • Design and integrate knowledge base systems for enterprise intelligence.
  • Mentor junior team members to foster growth and knowledge sharing.

Skills

Enterprise Architecture Strategy
Java
Python
C#
AI Native Development
Cloud Platforms

Education

15 years full time education

Job description

Project Role

Packaged/SaaS App Engineering Lead

Project Role Description

Own the design and evolution of packaged or SaaS solutions, overseeing configuration, integrations, and releases. Set platform standards to ensure stability, performance, and alignment with business and vendor constraints.

Must have skills

Enterprise Architecture Strategy

Good to have skills

NA

Minimum 18 Year(s) Of Experience Is Required
Educational Qualification

15 years full time education

Role Overview

As an Enterprise Architect, you will play a pivotal role in shaping the organization s technology landscape by designing and implementing scalable, efficient, and future-ready software solutions. This role requires a balance of technical expertise, strategic vision, and leadership skills to ensure that enterprise systems align seamlessly with evolving business objectives. You will operate in dynamic environments, applying modern frameworks, AI-native stacks, and agile methodologies to deliver solutions that are robust, reliable, and adaptable to organizational goals.

Key Responsibilities
  • Serve as a Subject Matter Expert (SME) in Enterprise Architecture with deep domain knowledge.
  • Provide strategic advisory and influencing support to leadership and cross-functional teams.
  • Take ownership of critical team decisions and drive consensus across diverse stakeholders.
  • Collaborate with multiple teams to contribute to enterprise-wide architectural strategies.
  • Deliver scalable solutions to complex problems that span across multiple teams and systems.
  • Lead the evaluation, adoption, and integration of emerging technologies, including AI-native stacks and cloud platforms.
  • Drive AI-led SDLC practices and solutioning using AI to accelerate delivery and improve quality.
  • Design and integrate knowledge base systems to enhance enterprise intelligence and decision-making.
  • Act as a mentor, guiding and supporting junior team members to foster growth and knowledge sharing.
Must-Have Expertise
  • Proven proficiency in Enterprise Architecture Strategy with a minimum of 15 years of experience.
  • Strong capability in designing scalable, business-aligned software architectures.
  • Hands-on experience with modern development frameworks and agile methodologies.
  • Ability to analyze complex systems and deliver strategic architectural solutions.
  • Skilled in cross-team collaboration to ensure seamless software integration.
  • Competence in system performance optimization and ensuring maintainability of software components.
  • Hands-on programming expertise in at least 2–3 languages such as Java, Python, and C#, with the ability to design, review, and optimize code when required.
  • Required experience in AI-native development using one or more Large Language Models (LLMs) and AI-native stacks.
  • Exposure to knowledge base systems and their integration into enterprise solutions.
  • Experience in AI-led SDLC and solutioning using AI to drive innovation and efficiency.
  • Cloud platform expertise across AWS, Microsoft Azure, and Google Cloud Platform (GCP), with proven ability to architect, integrate, and optimize enterprise solutions in multi-cloud environments.

Location: Mumbai, Bangalore. Hyderabad

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