Integration Architect with strong AI and Salesforce Experience -Remote
Job Summary : Integration Architect with AI & Salesforce Experience
• 100% remote position (US-based only); no sponsorship available.
• Requires a Master's degree (or equivalent experience) in Computer Science, AI, ML, or related field.
• Must have 2-3+ certifications in AI, ML, GenAI, or Agentic AI disciplines.
• 8-10 years of experience as an Integration Architect required.
• Minimum 2 years designing, developing, and deploying GenAI / LLM-powered applications / products.
• At least 1 year building and integrating Agentic AI systems (planning, reasoning, decision-making).
• Proficient in Python and relevant AI / ML libraries (TensorFlow, PyTorch, LangChain, etc.).
• Experience with NLP techniques (text generation, understanding, summarization).
• Experience with Reinforcement Learning algorithms and agent training.
• Skilled in handling large datasets and working on cloud platforms (AWS, GCP, Azure, IBM, Salesforce).
• Familiarity with version control systems (e.g., Git).
• Strong communication and collaboration skills; experience in Agile environments.
• Required experience with Agentforce (preferred) or Salesforce Einstein platforms.
• Integration of AI models with enterprise IT systems required.
• Preferred : Experience in prompt engineering, knowledge graphs, multi-agent systems, XAI, MLOps, containerization (Docker / Kubernetes), Salesforce development tools, IVR / conversational AI, onshore / offshore collaboration, and collaborative development platforms (e.g., GitHub).
Apply Now
Apply Now
• 100% remote position (US-based only); no sponsorship available.
• Requires a Master's degree (or equivalent experience) in Computer Science, AI, ML, or related field.
• Must have 2-3+ certifications in AI, ML, GenAI, or Agentic AI disciplines.
• 8-10 years of experience as an Integration Architect required.
• Minimum 2 years designing, developing, and deploying GenAI / LLM-powered applications / products.
• At least 1 year building and integrating Agentic AI systems (planning, reasoning, decision-making).
• Proficient in Python and relevant AI / ML libraries (TensorFlow, PyTorch, LangChain, etc.).
• Experience with NLP techniques (text generation, understanding, summarization).
• Experience with Reinforcement Learning algorithms and agent training.
• Skilled in handling large datasets and working on cloud platforms (AWS, GCP, Azure, IBM, Salesforce).
• Familiarity with version control systems (e.g., Git).
• Strong communication and collaboration skills; experience in Agile environments.
• Required experience with Agentforce (preferred) or Salesforce Einstein platforms.
• Integration of AI models with enterprise IT systems required.
• Preferred : Experience in prompt engineering, knowledge graphs, multi-agent systems, XAI, MLOps, containerization (Docker / Kubernetes), Salesforce development tools, IVR / conversational AI, onshore / offshore collaboration, and collaborative development platforms (e.g., GitHub).
Apply Now
Apply Now