JOB DETAILS
AI / ML Engineer
CompanyAccenture
LocationBengaluru
Work ModeOn Site
PostedSeptember 20, 2026
About The Company
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.
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About the Role
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : Healthcare Utilization Management, AI & Data Strategy, Agent Development
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, alongside continuous refinement and optimization of AI-driven solutions to meet evolving business needs.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and deployment of AI models ensuring scalability and reliability.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to align AI initiatives with organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Healthcare Utilization Management, Agent Development, AI & Data Strategy.
- Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production environments.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models (LLMs)
Good to have skills : Healthcare Utilization Management, AI & Data Strategy, Agent Development
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As an AI / ML Engineer, a typical day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud-based AI services. The role requires ensuring that these solutions are production-ready, whether deployed on cloud platforms or on-premises. The engineer integrates generative artificial intelligence models into various projects, which may encompass deep learning techniques, neural network architectures, conversational agents, and image processing tasks. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, alongside continuous refinement and optimization of AI-driven solutions to meet evolving business needs.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead the development and deployment of AI models ensuring scalability and reliability.
- Mentor junior team members to foster skill development and knowledge sharing.
- Coordinate with stakeholders to align AI initiatives with organizational objectives.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Large Language Models (LLMs).
- Good To Have Skills: Healthcare Utilization Management, Agent Development, AI & Data Strategy.
- Experience in designing and implementing AI applications using cloud AI services and on-premises infrastructure.
- Strong understanding of generative artificial intelligence models and their practical applications.
- Familiarity with deep learning frameworks and neural network architectures.
- Ability to develop and optimize AI pipelines for production environments.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Large Language Models (LLMs).
- 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.
Key Skills
Large Language ModelsGenerative AIDeep LearningNeural NetworksCloud AI ServicesAI PipelinesAgent DevelopmentAI & Data StrategyHealthcare Utilization ManagementImage ProcessingChatbotsScalabilityReliabilityTeam LeadershipStakeholder Management
Categories
TechnologySoftwareData & AnalyticsEngineeringConsulting
Job Information
📋Core Responsibilities
The AI/ML Engineer will lead the development and deployment of scalable AI models and integrate generative AI solutions into production environments. They are responsible for collaborating with cross-functional teams, mentoring junior staff, and aligning technical initiatives with organizational objectives.
📋Job Type
full time
📊Experience Level
5-10
💼Company Size
700966
📊Visa Sponsorship
No
💼Language
English
🏢Working Hours
40 hours
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