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Salesforce Software Engineering PMTS/Architect 
India, Karnataka, Bengaluru 
617739969

Yesterday

Job Category

Software Engineering

Job Details


Role Description:

As a Senior Engineering contributor on the Agentforce platform team, you will own the architecture, design, and execution of our Agentic AI platform and applications. You’ll collaborate closely with software engineers, data scientists, product managers, and data teams to build and turn cutting-edge architecture and research into scalable, production-ready systems.


Key Responsibilities:

  • Lead architecture and development of AI-powered backend systems and services.

  • Design and optimize data pipelines for training and inference at scale.

  • Work with product and business teams to translate user needs into technical requirements.

  • Set technical direction and mentor engineers across teams.

  • Drive adoption of MLOps best practices for model training, deployment, monitoring, and governance.

  • Innovate in model building,but in how models are trained,deployed,and monitored

  • Make strategic technical decisions on build vs buy, model selection, and infrastructure.

Required Skills:

  • 12+ years of software engineering experience; 3–5+ years building AI/ML systems at scale

  • Expertise in at least one object oriented programming language (Java/C++) and one ML native language (Python).

  • Strong experience in Applied AI and building AI applications.

  • Deep experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.

  • Familiarity with LLMs, vector databases, and applied generative AI (e.g., OpenAI, LangChain, LlamaIndex, RAG pipelines).

  • Strong background in system design, distributed systems, and cloud-native architectures (AWS/GCP).

  • Experience in building and scaling ML pipelines, data engineering workflows, and API platforms.

  • Proven ability to lead cross-functional teams and mentor engineers.

  • Strong communication and collaboration skills across technical and non-technical teams.

  • Ability to translate complex AI concepts into pragmatic engineering decisions

  • Experience in startups or high-growth tech companies.

Preferred Skills:
  • Contributions to open-source AI/ML projects

  • Patents, papers, blogs, or other external publications

  • Strong startup mindset demonstrated by innovation-first projects

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