Machine Learning Engineer Expert

SAP Labs · Bengaluru · 10+ yrs experience · Posted 2026-06-21

Tech stack: Go, GraphQL, Java, PostgreSQL, Python

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About the role

As an AI Expert and Architect, you will design and deliver intelligent systems that power large-scale AI capabilities across SAP’s ecosystem. You will take ideas from concept to production, building robust services, APIs, and agentic workflows that enable enterprise-grade AI applications in the real world.
You will work across technology stack, using languages such as Go, Java, and Python, and technologies such as LangGraph, PostgreSQL, SAP HANA, and GraphQL. Your work will directly shape how AI is embedded into SAP products, driving smarter automation, better decision-making, and improved customer experiences.
Responsibilities:
- As an AI Expert and Architect, you will design and deliver intelligent systems that power large-scale AI capabilities across SAP’s ecosystem. You will take ideas from concept to production, building robust services, APIs, and agentic workflows that enable enterprise-grade AI applications in the real world.
- You will work across technology stack, using languages such as Go, Java, and Python, and technologies such as LangGraph, PostgreSQL, SAP HANA, and GraphQL. Your work will directly shape how AI is embedded into SAP products, driving smarter automation, better decision-making, and improved customer experiences.
Qualifications:
- You bring deep technical expertise, a strong sense of ownership, and a track record of delivering complex systems at scale.
- Experience
- 10+ years of software engineering experience, delivering ML or AI solutions in production
- Proven experience architecting scalable systems, APIs, and data platforms
- Hands-on programming experience in Go, Java, or Python
- Experience working with distributed systems technologies (e.g., messaging systems, databases, RPC frameworks)
- Practical experience applying AI/ML techniques, including LLMs, in real-world products
- Experience leading initiatives end-to-end—from design through deployment and optimization
- Strong exposure to CI/CD, testing practices, and cloud-native architectures
- Experience collaborating with cross-functional teams in global environments
- Track record of mentoring engineers and fostering technical excellence
- You are someone who
- Thrives in ambiguous environments and solves complex technical problems
- Takes ownership and drives ideas into impactful outcomes
- Communicates clearly and collaborates effectively across teams
- Balances deep technical expertise with a pragmatic, results-oriented mindset
- Experience integrating AI into large-scale enterprise platforms
- Contributions to open-source or engagement in the AI/ML community
- Full-stack or platform engineering experience
- Where you belong
- You’ll join a high-performing, collaborative team building cutting-edge AI systems with global reach. The culture is high-trust and high-autonomy, where engineers are empowered to take ownership and move quickly without unnecessary bureaucracy.
- You’ll work closely with product leaders, engineers, and architects to turn bold ideas into scalable solutions. The team values continuous learning, technical excellence, and a shared commitment to innovation.
- This is a place where you can:
- Shape the future of AI within a global enterprise
- Work on impactful systems used by customers worldwide
- Collaborate with experienced engineers and AI experts
- Grow your technical and leadership capabilities in a fast-paced environment

Qualifications

- You bring deep technical expertise, a strong sense of ownership, and a track record of delivering complex systems at scale.
- Experience 10+ years of software engineering experience, delivering ML or AI solutions in production
- Proven experience architecting scalable systems, APIs, and data platforms
- Hands-on programming experience in Go, Java, or Python
- Experience working with distributed systems technologies (e.g., messaging systems, databases, RPC frameworks)
- Practical experience applying AI/ML techniques, including LLMs, in real-world products
- Experience leading initiatives end-to-end—from design through deployment and optimization
- Strong exposure to CI/CD, testing practices, and cloud-native architectures
- Experience collaborating with cross-functional teams in global environments
- Track record of mentoring engineers and fostering technical excellence
- You are someone who
- Thrives in ambiguous environments and solves complex technical problems
- Takes ownership and drives ideas into impactful outcomes
- Communicates clearly and collaborates effectively across teams
- Balances deep technical expertise with a pragmatic, results-oriented mindset
- Experience integrating AI into large-scale enterprise platforms
- Contributions to open-source or engagement in the AI/ML community
- Full-stack or platform engineering experience
- Where you belong
- You’ll join a high-performing, collaborative team building cutting-edge AI systems with global reach.
- The culture is high-trust and high-autonomy, where engineers are empowered to take ownership and move quickly without unnecessary bureaucracy.
- You’ll work closely with product leaders, engineers, and architects to turn bold ideas into scalable solutions.
- The team values continuous learning, technical excellence, and a shared commitment to innovation.
- This is a place where you can:
- Shape the future of AI within a global enterprise
- Work on impactful systems used by customers worldwide
- Collaborate with experienced engineers and AI experts
- Grow your technical and leadership capabilities in a fast-paced environment

Responsibilities

- As an AI Expert and Architect, you will design and deliver intelligent systems that power large-scale AI capabilities across SAP’s ecosystem.
- You will take ideas from concept to production, building robust services, APIs, and agentic workflows that enable enterprise-grade AI applications in the real world.
- You will work across technology stack, using languages such as Go, Java, and Python, and technologies such as LangGraph, PostgreSQL, SAP HANA, and GraphQL.
- Your work will directly shape how AI is embedded into SAP products
- driving smarter automation, better decision-making, and improved customer experiences.

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