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 Masters 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).
Key Skills
Active Directory Administration,Logistics Operations,Bar Management,Advertising Sales,Drafting,Inventory Management
Employment Type : Full Time
Experience: years
Vacancy: 1
Apply Now
Apply Now
- 100% remote position (US-based only); no sponsorship available.
- Requires a Masters 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).
Key Skills
Active Directory Administration,Logistics Operations,Bar Management,Advertising Sales,Drafting,Inventory Management
Employment Type : Full Time
Experience: years
Vacancy: 1
Apply Now
Apply Now