Design, build, and deploy production-grade AI agents and workflow integrations using LLMs, RAG, embeddings, and orchestration frameworks. Lead projects end-to-end, implement tool integrations, REST APIs, and microservices, and apply CI/CD, containerization, security, and ethical AI best practices to deliver autonomous multi-step workflows.
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 : Python (Programming Language)
Good to have skills : AI Agents & Workflow Integration
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Python lead you design, build, and deploy AI Agents & workflow integration that can reason, plan, and execute complex workflows with minimal human intervention.
This role sits at the intersection of developing agents' workflows with Lang Chain, Lang Graph, Crew AI, AutoGen and Implement patterns such as planning & delegation and Tool orchestration.
You will build production-grade AI agents that integrate with enterprise systems, use tools dynamically, and operate across multi-step workflows to deliver real business outcomes.
Roles & Responsibilities:
-Work with generative AI technologies, including large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents
-Design and develop AI agents that can reason, plan, and execute multi-step tasks autonomously
-Implement agent capabilities such as, Tool calling, Memory management and multi-agent collaboration
-Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes
-Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
-Build REST APIs and microservices for AI-driven platforms for workflow integrations with Agentic AI solutions
-Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
-Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization.
Professional & Technical Skills:
-Must Have Skills: Proficiency in Python, AI Agents & Workflow Integration, AI & LLM Foundations- Understanding large language models (LLMs) and multimodal models, Prompt engineering and structured prompting, Hands on experience with AWS KIRO, Spec Driven Development, Knowledge of fine-tuning, embeddings, and retrieval-augmented generation (RAG)
-Agentic Orchestration- Frameworks like Lang Chain, Crew AI, Semantic Kernel, Lang graph, multi-agent coordination strategies (collaboration, delegation, planning, negotiation and Workflow orchestration (DAGs, state machines, planners)
- Tool Integration- API design and integration for agent tooling, Connecting agents with databases, APIs, and enterprise systems and Knowledge of vector databases (cloud or on prem)
Additional Information:
-The candidate should have minimum 12 years of experience in AI Agents & Workflow Integration, strong foundational knowledge of Artificial Intelligence (AI), Machine Learning (ML), Data Science, or a related field.
-This position is based at our Bengaluru office.
-A 15-year 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 : Python (Programming Language)
Good to have skills : AI Agents & Workflow Integration
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Python lead you design, build, and deploy AI Agents & workflow integration that can reason, plan, and execute complex workflows with minimal human intervention.
This role sits at the intersection of developing agents' workflows with Lang Chain, Lang Graph, Crew AI, AutoGen and Implement patterns such as planning & delegation and Tool orchestration.
You will build production-grade AI agents that integrate with enterprise systems, use tools dynamically, and operate across multi-step workflows to deliver real business outcomes.
Roles & Responsibilities:
-Work with generative AI technologies, including large language models (LLMs), embeddings, retrieval-augmented generation (RAG), prompt engineering, and autonomous agents
-Design and develop AI agents that can reason, plan, and execute multi-step tasks autonomously
-Implement agent capabilities such as, Tool calling, Memory management and multi-agent collaboration
-Apply software engineering best practices, including version control (Git), CI/CD pipelines, and containerization with Docker and Kubernetes
-Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
-Build REST APIs and microservices for AI-driven platforms for workflow integrations with Agentic AI solutions
-Incorporate ethical AI principles, bias mitigation strategies, and security best practices into the design and deployment of autonomous systems.
-Lead AI projects through all phases: requirements gathering, architecture design, implementation, and performance optimization.
Professional & Technical Skills:
-Must Have Skills: Proficiency in Python, AI Agents & Workflow Integration, AI & LLM Foundations- Understanding large language models (LLMs) and multimodal models, Prompt engineering and structured prompting, Hands on experience with AWS KIRO, Spec Driven Development, Knowledge of fine-tuning, embeddings, and retrieval-augmented generation (RAG)
-Agentic Orchestration- Frameworks like Lang Chain, Crew AI, Semantic Kernel, Lang graph, multi-agent coordination strategies (collaboration, delegation, planning, negotiation and Workflow orchestration (DAGs, state machines, planners)
- Tool Integration- API design and integration for agent tooling, Connecting agents with databases, APIs, and enterprise systems and Knowledge of vector databases (cloud or on prem)
Additional Information:
-The candidate should have minimum 12 years of experience in AI Agents & Workflow Integration, strong foundational knowledge of Artificial Intelligence (AI), Machine Learning (ML), Data Science, or a related field.
-This position is based at our Bengaluru office.
-A 15-year 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 Chennai, Tamil Nadu, IND Office
Chennai, India
Similar Jobs
Information Technology
Design, develop, and enhance custom software solutions with a focus on SAP CO (Management Accounting). Act as an SME, lead and mentor team members, collaborate across teams, make technical decisions, implement integrations, and apply agile practices to deliver scalable, high-quality applications.
Top Skills:
Sap Co Management Accounting
Information Technology
Design, build, configure, and customize SAP FI S/4HANA applications to meet business requirements. Act as SME, lead and mentor team members, coordinate cross-functional stakeholders, implement process improvements, troubleshoot FI issues, and handle data migration, reconciliation, and reporting tasks to ensure high-performing financial ERP solutions.
Top Skills:
Sap Fi S/4Hana Accounting
Information Technology
Lead design, build, and configure custom SAP applications using ABAP for HANA. Act as SME, collaborate across teams, mentor juniors, resolve technical issues, and ensure solutions meet business needs and agile delivery standards.
Top Skills:
BadiCds ViewsOdataSap AbapSap Hana
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
