The Role
Develop and deploy production-grade AI systems and agentic workflows in enterprise environments. Embed with client teams to design architectures, integrate AI platforms with ERP, CRM, ITSM, and data systems, and own deployments from experimentation through production handover. Lead workshops and architecture sessions, quantify business impact for senior stakeholders, and create reusable implementation patterns. Responsibilities include cloud-native engineering, multi-provider AI platform integration, governance, monitoring, CI/CD, infrastructure as code, and end-to-end delivery ownership.
Summary Generated by Built In
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 : AI Agents & Workflow Integration
Good to have skills : NA
Minimum 3 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 services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer works on integrating generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand requirements and translate them into technical designs.
- Continuously evaluate and optimize AI models and workflows for performance and reliability.
- Document technical processes and share knowledge to support team growth.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AI Agents & Workflow Integration.
- Experience in designing and implementing AI-driven workflows and automation pipelines.
- Strong understanding of cloud-based AI services and their integration into applications.
- Familiarity with generative AI models and their practical application in real-world solutions.
- Ability to work with various AI techniques including deep learning, neural networks, and chatbot development.
- Skilled in managing production-ready AI systems with a focus on scalability and maintainability.
Additional Information:
- The candidate should have minimum 3 years of experience in AI Agents & Workflow Integration.
- 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 : AI Agents & Workflow Integration
Good to have skills : NA
Minimum 3 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 services. The role requires managing end-to-end application pipelines, ensuring solutions are production-ready and scalable. The engineer works on integrating generative AI models and may engage with various AI domains such as deep learning, neural networks, conversational agents, and image analysis. Collaboration with cross-functional teams to align technical implementations with project goals is a key aspect of daily activities, fostering innovation and continuous improvement in AI-driven solutions.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with stakeholders to understand requirements and translate them into technical designs.
- Continuously evaluate and optimize AI models and workflows for performance and reliability.
- Document technical processes and share knowledge to support team growth.
- Assist junior team members by providing guidance and support in their tasks.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in AI Agents & Workflow Integration.
- Experience in designing and implementing AI-driven workflows and automation pipelines.
- Strong understanding of cloud-based AI services and their integration into applications.
- Familiarity with generative AI models and their practical application in real-world solutions.
- Ability to work with various AI techniques including deep learning, neural networks, and chatbot development.
- Skilled in managing production-ready AI systems with a focus on scalability and maintainability.
Additional Information:
- The candidate should have minimum 3 years of experience in AI Agents & Workflow Integration.
- 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.
Skills Required
- Minimum 5 years of experience in AI Agents and Workflow Integration
- Minimum 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, or serverless
- 15 years of full-time education
- Production deployment experience with AI platforms and full platform ownership in at least one live client environment
- Experience designing and deploying agentic solutions, including orchestration, context engineering, RAG, and workflows
- Experience with OpenAI, Claude, Vertex AI, and open-source models
- Experience with production deployment, CI/CD, infrastructure as code using Terraform or Helm, monitoring, and debugging
- Demonstrated end-to-end delivery ownership in a client-embedded environment
- Experience integrating AI platforms with ERP, CRM, ITSM, and data systems in production
- Enterprise architecture experience across identity, data, security, and governance layers
- Ability to quantify deployment impact and articulate business value to senior stakeholders
- Experience presenting to and building trust with CTO-, CFO-, or CISO-level stakeholders
- Ability to independently run deployment cycles from kickoff through production and client handover
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
