AI Lead/Senior Developer

Sopra Steria

Bengaluru

On-site

INR 1,500,000 - 2,000,000

Full time

14 days+

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Job summary

Sopra Steria in Bengaluru is seeking a seasoned AI expert to design enterprise AI/ML and Generative AI solutions. Candidates must have 8-10 years of experience and hold a BE/BTech degree.

The role involves leading AI deployments in cloud environments, optimizing model performance, and collaborating across teams. Strong leadership and communication skills are essential. Opportunities for individuals with disabilities are embraced in our inclusive workplace.

Qualifications

  • 08-10 years of relevant experience in AI solutions.
  • Strong experience in AI/ML solution architecture and deployment.
  • Exposure to PLM platforms and understanding of product lifecycle processes.

Responsibilities

  • Design and implement enterprise AI/ML and Generative AI solutions.
  • Lead AI solution deployment across cloud environments.
  • Optimize AI model performance and infrastructure utilization.

Skills

Machine Learning and Deep Learning
Generative AI and Large Language Models (LLMs)
NLP, RAG architectures, prompt engineering
Proficiency in Python and AI frameworks
Production AI platform management

Education

BE / BTech

Tools

PyTorch
TensorFlow
Scikit-learn
LangChain
Vector databases (MongoDB/pgVector/CloudSQL/Pinecone)

Job description

About Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, recognised for its consulting, digital services and solutions. The Group provides end-to-end solutions to help large companies and organisations become more competitive by combining in-depth knowledge of business sectors with innovative technologies. In 2025, the Group generated revenues of €5.6 billion.

Job Description

The world is how we shape it.

Strong experience
  • Agentic AI solutioning and Architecture
  • AI/ML solution architecture and deployment
  • Enterprise cloud infrastructure
  • Scalable distributed systems
  • Production AI platform management
  • Must have worked on one production grade agentic AI application on PLM background
Key Responsibilities
  • Design and implement enterprise AI/ML and Generative AI solutions.
  • Build and deploy LLM-based applications, AI agents, RAG pipelines, and intelligent automation solutions.
  • Lead AI solution deployment across cloud environments such as GCP.
  • Develop secure, scalable, and high-availability AI infrastructure.
  • Collaborate with engineering, DevOps, security, and business teams for enterprise AI adoption.
  • Optimize AI model performance, infrastructure utilization, and operational efficiency.
  • Establish MLOps, CI/CD, monitoring, and governance frameworks for AI solutions.
  • Constantly emerging AI technologies and drive innovation initiatives.
  • Mentor technical teams and provide architectural guidance.
  • Support AI integration with PLM systems and engineering workflows
Strong expertise

AI & Data Skills:

  • Machine Learning and Deep Learning
  • Generative AI and Large Language Models (LLMs)
  • NLP, RAG architectures, prompt engineering, and AI agents
  • AI model deployment and inference optimization
  • Proficiency in Python and AI frameworks
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • LangChain
  • Google ADK (Preferred)
  • Vector databases (MongoDB/pgVector/CloudSQL/Pinecone)
Optional Skills

Exposure to PLM platforms such as:

  • 3DX
  • Siemens Teamcenter
  • PTC Windchill
  • Dassault ENOVIA
  • ARAS INNOVATOR
Total Experience Expected

08-10 years

Qualifications

BE / BTech

Additional Information

PLM Skills:

  • Exposure to at least one PLM system
  • Understanding of engineering, manufacturing, or product lifecycle processes
  • Knowledge of Industry 4.0, Digital Twin, or IoT ecosystems

Soft Skills:

  • Strong leadership and stakeholder management skills
  • Excellent communication and presentation abilities
  • Strategic thinking and problem-solving mindset

All of our positions are open to people with disabilities. We are committed to fighting against all forms of discrimination and fostering an inclusive and respectful work environment.

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