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successfactors

Associate Architect

Wissen Technology
Bengaluru, IND
Mid · 5–7 years experience
Onsite
Discovered 1 weeks ago
langchainpython

Full Job Posting

Qualifications

  • Educational Background:
  • CS graduate degree, medical degree, or equivalent experience preferred.
  • For MBA candidates: 3–4 years of relevant experience with demonstrable skills in GenAI/technology.
  • For non-MBA candidates: 5–7 years of relevant experience. Experience & Skills:
  • Advanced skills in GenAI prompting and problem-solving.
  • Understanding of LLM platforms, RAG pipelines, and databases is a plus.
  • Familiarity with pharmaceutical/medical processes and documentation preferred.
  • Ability to innovate, adapt, and work collaboratively with diverse teams. Competencies JOB KNOWLEDGE COMMUNICATION SKILLS INTERPERSONAL SKILLS Key Skills Primary Skill: Generative AI (GenAI) Secondary Skills: Agentic AI, Python, Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, Multi-Agent Orchestration, Tool/Function Calling, LLM Platforms, Solution Architecture, and GenAI Consulting. Soft Skills Excellent communication and presentation skills. Strong analytical and problem-solving abilities. Customer engagement and stakeholder management. Solution-oriented and consultative mindset. Creativity, curiosity, and continuous learning. Adaptability in a fast-paced environment. Cross-functional collaboration and teamwork. Accountability and result-oriented execution. Qualification A degree in Computer Science or a related technical field. A medical degree, or equivalent experience is preferred. Relevant experience: 5–7 years for non-MBA candidates or 3–4 years for MBA candidates with demonstrable GenAI/technology expertise. Certifications

Preferred Qualifications

  • CS graduate degree, medical degree, or equivalent experience preferred.
  • Understanding of LLM platforms, RAG pipelines, and databases is a plus.
  • Familiarity with pharmaceutical/medical processes and documentation preferred.
  • Ability to innovate, adapt, and work collaboratively with diverse teams. Competencies JOB KNOWLEDGE COMMUNICATION SKILLS INTERPERSONAL SKILLS Key Skills Primary Skill: Generative AI (GenAI) Secondary Skills: Agentic AI, Python, Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, Multi-Agent Orchestration, Tool/Function Calling, LLM Platforms, Solution Architecture, and GenAI Consulting. Soft Skills Excellent communication and presentation skills. Strong analytical and problem-solving abilities. Customer engagement and stakeholder management. Solution-oriented and consultative mindset. Creativity, curiosity, and continuous learning. Adaptability in a fast-paced environment. Cross-functional collaboration and teamwork. Accountability and result-oriented execution. Qualification A degree in Computer Science or a related technical field. A medical degree, or equivalent experience is preferred. Relevant experience: 5–7 years for non-MBA candidates or 3–4 years for MBA candidates with demonstrable GenAI/technology expertise. Certifications

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