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Information Technology
Analyze, design, develop, test, maintain, and enhance application components for client requirements. Build reusable Salesforce Lightning Web Components, integrate Salesforce data models, troubleshoot complex issues, and collaborate across teams. Serve as a subject matter expert, guide team decisions, improve processes, and mentor junior developers.
Top Skills:
SalesforceSalesforce Lightning Web Components
Information Technology
Develop and enhance custom software components using Calypso, modern frameworks, and agile practices. Responsibilities include gathering requirements, designing scalable architectures, integrating complex systems, testing and documenting code, troubleshooting performance issues, and supporting continuous improvement. The role requires independent contribution, stakeholder collaboration, knowledge sharing, and mentoring junior team members.
Top Skills:
Calypso
Information Technology
Develop and enhance custom software components using Calypso, modern frameworks, and agile practices. Responsibilities include gathering requirements, designing scalable architectures, coding, testing, documenting, debugging, optimizing performance, and integrating complex systems. The engineer collaborates with technical and business stakeholders, contributes to continuous improvement, participates in team discussions, works independently toward subject-matter expertise, and mentors junior team members.
Top Skills:
AgileCalypso
Design and deploy enterprise agentic AI architectures and multi-agent systems using Microsoft AI Foundry, Semantic Kernel, AutoGen, Copilot Studio, and Azure AI services. Lead technical decisions, integrate LLMs and SLMs, implement Responsible AI governance, optimize solution performance, collaborate with engineering and product teams, and mentor teams on AI system design and deployment.
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Agentic AI Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to innovative solutions that meet the needs of diverse stakeholders.
The Data Architect is responsible for defining the application s data requirements and structure. This includes modeling and designing the application s data architecture, storage solutions, and integration approaches to ensure robust and scalable data management.
Key Responsibilities
-Serve as a subject matter expert in Microsoft Agentic AI solutions, particularly with hands-on experience in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services including Large Language Models (LLMs) and Small Language Models (SLMs).
-Lead the design and architecture of multi-agent systems, ensuring seamless integration into enterprise environments.
-Collaborate closely with engineering and product teams to deliver innovative GenAI and Agentic AI solutions that drive measurable business impact.
-Define and implement Responsible AI practices throughout the solution lifecycle, ensuring alignment with ethical standards and regulatory requirements.
-Mentor teams on best practices for agentic AI system design, orchestration, and deployment.
-Drive key architectural and technical decisions across diverse projects and teams.
-Facilitate knowledge-sharing sessions and training focused on Microsoft s Agentic AI technology stack.
-Continuously assess solution performance and provide recommendations for optimization in scalability, accuracy, and compliance.
Required Skills and Qualifications
-Must-Have Skills:
-Extensive expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
-Strong knowledge of LLMs and SLMs, including fine-tuning, deployment, and enterprise integration.
-Proven track record in designing and implementing agentic AI architectures.
-Practical experience with Python and Visual Studio Code.
Good-to-Have Skills:
-Experience with Microsoft Azure Machine Learning.
-Familiarity with Microsoft Azure OpenAI Service.
Additional Skills:
-In-depth understanding of Responsible AI frameworks and governance policies.
-Ability to collaborate with cross-functional teams to deliver scalable AI solutions.
-Knowledge of compliance and regulatory requirements in the AI domain.
-Strong problem-solving and decision-making skills.
Experience and Education Requirements
Minimum of 12 years of professional experience is required.
At least 8 years of experience working with Microsoft AI technologies.
A minimum of 2 years specializing in Agentic AI Architecture.
10+ years of experience with Azure Platform as a Service (PAAS).
13+ years of overall experience in the IT industry.
15 years of full-time education is mandatory.
As a Microsoft Agentic Architect, the role involves designing, architecting, and deploying advanced Agentic AI solutions within Microsoft s ecosystem. The primary focus is on building scalable multi-agent systems and AI-powered applications using tools such as Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. The position demands a commitment to responsible development, ethical AI practices, and alignment with organizational objectives. Deep technical expertise, leadership, and cross-functional collaboration are essential for driving innovation in agentic AI.
Additional Information:
- The candidate should have minimum 12+ years of experience in Microsoft Agentic AI Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Microsoft Agentic AI Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring high-quality application pipelines, and integrating generative AI models into various projects. You will also explore advanced techniques such as deep learning, neural networks, and image processing, contributing to innovative solutions that meet the needs of diverse stakeholders.
The Data Architect is responsible for defining the application s data requirements and structure. This includes modeling and designing the application s data architecture, storage solutions, and integration approaches to ensure robust and scalable data management.
Key Responsibilities
-Serve as a subject matter expert in Microsoft Agentic AI solutions, particularly with hands-on experience in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services including Large Language Models (LLMs) and Small Language Models (SLMs).
-Lead the design and architecture of multi-agent systems, ensuring seamless integration into enterprise environments.
-Collaborate closely with engineering and product teams to deliver innovative GenAI and Agentic AI solutions that drive measurable business impact.
-Define and implement Responsible AI practices throughout the solution lifecycle, ensuring alignment with ethical standards and regulatory requirements.
-Mentor teams on best practices for agentic AI system design, orchestration, and deployment.
-Drive key architectural and technical decisions across diverse projects and teams.
-Facilitate knowledge-sharing sessions and training focused on Microsoft s Agentic AI technology stack.
-Continuously assess solution performance and provide recommendations for optimization in scalability, accuracy, and compliance.
Required Skills and Qualifications
-Must-Have Skills:
-Extensive expertise in Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services.
-Strong knowledge of LLMs and SLMs, including fine-tuning, deployment, and enterprise integration.
-Proven track record in designing and implementing agentic AI architectures.
-Practical experience with Python and Visual Studio Code.
Good-to-Have Skills:
-Experience with Microsoft Azure Machine Learning.
-Familiarity with Microsoft Azure OpenAI Service.
Additional Skills:
-In-depth understanding of Responsible AI frameworks and governance policies.
-Ability to collaborate with cross-functional teams to deliver scalable AI solutions.
-Knowledge of compliance and regulatory requirements in the AI domain.
-Strong problem-solving and decision-making skills.
Experience and Education Requirements
Minimum of 12 years of professional experience is required.
At least 8 years of experience working with Microsoft AI technologies.
A minimum of 2 years specializing in Agentic AI Architecture.
10+ years of experience with Azure Platform as a Service (PAAS).
13+ years of overall experience in the IT industry.
15 years of full-time education is mandatory.
As a Microsoft Agentic Architect, the role involves designing, architecting, and deploying advanced Agentic AI solutions within Microsoft s ecosystem. The primary focus is on building scalable multi-agent systems and AI-powered applications using tools such as Microsoft AI Foundry, Semantic Kernel, Autogen, Copilot Studio, and Azure AI services. The position demands a commitment to responsible development, ethical AI practices, and alignment with organizational objectives. Deep technical expertise, leadership, and cross-functional collaboration are essential for driving innovation in agentic AI.
Additional Information:
- The candidate should have minimum 12+ years of experience in Microsoft Agentic AI Architecture.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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