Deloitte GenAI Software Engineer III Jobs in Bengaluru

Job Overview

Deloitte is hiring a GenAI Software Engineer III for its Enterprise Performance team, supporting technology-led transformation across supply chain and product development environments. This role is suited to an experienced software engineering professional who can combine enterprise application development, product lifecycle management knowledge, generative AI, and cloud technologies to build practical business solutions.

The position focuses on designing and deploying agentic AI and generative AI solutions for product development and supply chain use cases. You will work with large language models, multi-agent workflows, retrieval-augmented generation, structured and unstructured enterprise data, and PLM platforms. The role also involves translating functional requirements into scalable technical designs, validating solution outputs, and collaborating with functional and technical teams.

The opportunity is available in Bengaluru, Hyderabad, Pune, and Chennai. Shift timings are listed as 11 AM to 8 PM or 2 PM to 11 PM IST, depending on business requirements.

Key Responsibilities

• Design, develop, and deploy generative AI and agentic AI solutions for product development and enterprise use cases.
• Build LLM-powered agents and multi-agent workflows for practical business applications.
• Develop retrieval-augmented generation solutions using structured and unstructured supply chain, engineering, and product information.
• Configure and extend PLM platforms such as Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM.
• Develop workflows, data models, and integrations within enterprise product lifecycle environments.
• Connect AI solutions with enterprise applications and cloud environments.
• Work with AWS and Microsoft Azure services to support AI and machine learning workloads.
• Translate business and functional requirements into scalable solution designs.
• Validate AI solution outputs and measure performance using defined operational metrics.
• Collaborate with onsite, offshore, functional, and technical teams to support successful delivery.
• Contribute to high-quality work products and complete assigned engineering activities within expected timelines.
• Mentor or guide junior team members when required.
• Support product development initiatives within the Enterprise Performance and Supply Chain Network Operations environment.

Required Skills

Candidates should have 6 to 9 years of experience across software engineering, enterprise application development, artificial intelligence, machine learning, or product lifecycle management. At least 3 years of PLM design and development experience is required, using platforms such as Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, or a comparable system.

The role also requires at least 2 years of experience developing LLM-driven agents and multi-agent workflows using LangChain, LangGraph, or comparable frameworks. Practical experience building RAG solutions from structured and unstructured supply chain, engineering, or product data is important.

Strong Python programming experience in production-grade application development is required. Candidates should also understand generative AI, large language models, prompt engineering, and retrieval-augmented generation.

A solid understanding of microservices, APIs, distributed systems, and event-driven architectures is expected. Experience with containers and orchestration, including Docker and Kubernetes, is also relevant. Candidates should be familiar with CI/CD and DevOps tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.

Preferred Skills

Experience with vector databases, graph databases, and cloud deployment on AWS or Azure is preferred. Knowledge of AI and machine learning services on these cloud platforms can further strengthen the profile.

Additional experience with enterprise platforms such as SAP, Oracle, Blue Yonder, Kinaxis, or Manhattan is useful. Experience with Snowflake, Databricks, Delta Lake, or PySpark is also preferred for data-intensive solutions.

Candidates who have integrated OpenAI, Anthropic, or Cohere models with cloud services may have relevant additional experience. Knowledge of electronic data interchange formats and processes, including EDI, X12, EDIFACT, customs classification, or trade compliance, is another advantage.

Experience with multi-echelon inventory optimization, network optimization, production scheduling, constraint-based planning, regulated industries, responsible AI, or explainability can also be valuable.

Education

The position requires a BE, BTech, MCA, MSc in Computer Science, or an equivalent degree from an accredited university.

Experience

The required overall experience range is 6 to 9 years. Within that experience, candidates should have at least 3 years in PLM design and development and at least 2 years building LLM-based agents and multi-agent workflows. Production-grade Python development experience is also required.

Required Technologies

• Python
• Generative AI
• Artificial Intelligence
• Machine Learning
• Large Language Models
• LLM Agents
• Multi-Agent Workflows
• LangChain
• LangGraph
• Retrieval-Augmented Generation
• Prompt Engineering
• Vector Databases
• Graph Databases
• Teamcenter
• Windchill
• 3DEXPERIENCE
• SAP PLM
• AWS
• Microsoft Azure
• Microservices
• APIs
• Distributed Systems
• Event-Driven Architectures
• Docker
• Kubernetes
• Jenkins
• GitHub Actions
• GitLab CI
• Azure DevOps
• Agile
• Snowflake
• Databricks
• Delta Lake
• PySpark
• OpenAI
• Anthropic
• Cohere

Soft Skills

This role requires structured problem solving, analytical thinking, and the ability to understand both business requirements and technical constraints. Clear communication is important when working with functional teams, technical specialists, onsite teams, offshore teams, and junior professionals.

Candidates should be comfortable taking ownership of deliverables, explaining technical decisions, validating solution results, and adapting to changing requirements. Mentoring ability and collaborative working skills are also useful because the role may involve guiding junior team members and coordinating across teams.

Benefits of Working in this Role

This opportunity provides exposure to modern generative AI, agentic AI, LLM applications, RAG, cloud platforms, enterprise PLM systems, and supply chain technology. It also offers the chance to work on solutions connecting emerging AI capabilities with practical enterprise processes.

Professionals can broaden their experience across software engineering, AI application development, cloud integration, product lifecycle management, and enterprise transformation while working on complex business problems.

Work Mode

The provided job description does not explicitly state whether the position is onsite, hybrid, or remote. Therefore, onsite is used as the default value in this job record rather than assuming a work arrangement that was not specified.

Location

The position is available in Bengaluru, Hyderabad, Pune, and Chennai, India. Candidates should confirm the applicable office location and work arrangement during the application process.

Who Should Apply

This opportunity is suitable for experienced software engineers, GenAI engineers, AI application developers, PLM developers, machine learning engineers, and enterprise technology professionals with strong Python and generative AI experience.

Candidates with PLM experience and knowledge of Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM are particularly aligned with the role. Professionals who can combine LLM agents, RAG, cloud platforms, enterprise applications, and production software engineering can also be strong candidates.

Career Growth

The combination of GenAI engineering, enterprise application development, PLM, cloud technologies, and supply chain transformation can help professionals build expertise toward senior AI engineering, AI solution architecture, enterprise AI consulting, technical leadership, and specialized GenAI product development roles.

Application Advice

Tailor your resume to demonstrate actual project experience rather than listing technologies without context. Highlight production-grade Python development, LLM agents, multi-agent workflows, RAG implementations, prompt engineering, and generative AI applications.

Clearly mention your PLM experience and the platforms you have used, such as Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM. Include relevant cloud experience with AWS or Azure and explain your work with Docker, Kubernetes, APIs, microservices, distributed systems, or event-driven architectures.

If applicable, describe experience with LangChain, LangGraph, vector or graph databases, Jenkins, GitHub Actions, GitLab CI, Azure DevOps, Snowflake, Databricks, Delta Lake, PySpark, OpenAI, Anthropic, or Cohere. Candidates should also highlight supply chain, product development, optimization, or responsible AI experience where it genuinely matches their background.