GenAI – Software Engineer III

GenAI – Senior Consultant, Software Engineer III

Enterprise Performance

Our Enterprise Performance team helps organizations transform core business operations through technology, data, and innovation across finance, supply chain, and IT. Within this practice, professionals work with Deloitte client service teams to design and deliver solutions that improve operational performance, enable digital transformation, and drive measurable business outcomes.

As part of this team, you will help clients address complex supply chain challenges by combining functional knowledge with emerging technologies, including Generative AI and intelligent automation. The work spans areas such as planning, sourcing, manufacturing, logistics, and distribution, with a focus on building practical, scalable solutions that support better decision-making and business performance.

Position Summary

As an experienced Senior Consultant at Deloitte Consulting Services, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.

Work you'll do

As a Senior Consultant, Software Engineering on the Enterprise Performance team, you will be responsible for:

• Designing, building, and deploying agentic artificial intelligence and generative artificial intelligence solutions for product development use cases.
• Configuring and extending product lifecycle management (PLM) platforms such as Teamcenter, Windchill, 3DEXPERIENCE, or SAP PLM to support workflows, data models, and integrations.
• Building large language model (LLM) agents, multi-agent workflows, and retrieval-augmented generation (RAG) solutions using structured and unstructured supply chain and engineering data.
• Integrating solutions with enterprise platforms and cloud environments, including Amazon Web Services (AWS) and Microsoft Azure.
• Working with functional and technical teams to translate business requirements into scalable solution designs, validate outputs, and measure performance through defined operational metrics.

The team

Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.

The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients’ toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.

Location: Bengaluru / Hyderabad / Pune / Chennai

Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST as per business requirements

Qualifications

Required:

• 6-9 years of experience in software engineering, enterprise application development, artificial intelligence, machine learning, or product lifecycle management.
• 3+ years of experience in PLM design and development using Teamcenter, Windchill, 3DEXPERIENCE, SAP PLM, or a comparable platform.
• 2+ years of experience building LLM-driven agents and multi-agent workflows using LangChain, LangGraph, or comparable frameworks.
• Experience building RAG solutions using structured and unstructured supply chain, engineering, or product data.
• Experience with Python in production-grade application development.
• Experience with vector databases, graph databases, and cloud deployment on AWS and/or Azure, including artificial intelligence and machine learning services.
• BE, BTech, MCA, MSc (Computer Science), or an equivalent degree from an accredited university.

Preferred:

• AWS and/or Azure machine learning certifications.
• Experience with SAP, Oracle, Blue Yonder, Kinaxis, Manhattan, or comparable enterprise platforms.
• Experience with Snowflake, Databricks, Delta Lake, or PySpark.
• Experience integrating OpenAI, Anthropic, or Cohere models with cloud services.
• Experience with electronic data interchange (EDI), X12, electronic data interchange for administration, commerce, and transport (EDIFACT), customs classification, or trade compliance.
• Experience with multi-echelon inventory optimization, network optimization, production scheduling, constraint-based planning, regulated industries, or responsible artificial intelligence and explainability.