1. Agentic AI solutioning and Architecture
2. AI/ML solution architecture and deployment
3. Enterprise cloud infrastructure
4. Scalable distributed systems
5. Production AI platform management
6. Must have worked on one production grade agentic AI application on PLM background
Key Responsibilities
1. Design and implement enterprise AI/ML and Generative AI solutions.
2. Build and deploy LLM-based applications, AI agents, RAG pipelines, and intelligent automation solutions.
3. Lead AI solution deployment across cloud environments such as GCP.
4. Develop secure, scalable, and high-availability AI infrastructure.
5. Collaborate with engineering, DevOps, security, and business teams for enterprise AI adoption.
6. Optimize AI model performance, infrastructure utilization, and operational efficiency.
7. Establish MLOps, CI/CD, monitoring, and governance frameworks for AI solutions.
8. Constantly emerging AI technologies and drive innovation initiatives.
9. Mentor technical teams and provide architectural guidance.
10.
Support AI integration with PLM systems and engineering workflows
Strong expertise
AI & Data Skills:
1. Machine Learning and Deep Learning
2. Generative AI and Large Language Models (LLMs)
3. NLP, RAG architectures, prompt engineering, and AI agents
4. AI model deployment and inference optimization
5. Proficiency in Python and AI frameworks:
6. PyTorch
7. TensorFlow
8. Scikit-learn
9. LangChain
10. Google ADK (Preferred)
11. Vector databases ( MongoDB/ pgVector/ CloudSQL /Pinecone)
Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 AI Lead/Senior Developer (Bengaluru)
🏢 Sopra Steria
📍 Bengaluru
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