Integration Architect with strong AI and Salesforce Experience -Remote
Remote in Dallas, TX, US • Posted 6 hours ago • Updated 22 minutes agoContract Corp To Corp
Contract Independent
Contract W2
On-site
$77 per hour


DCode Talent
Fitment
Dice Job Match Score™
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Job Details
Skills
- LLM
- Python
- Kubernetes
- Docker
- Salesforce
- TensorFlow
- GenAI
- Agentforce
Summary
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, Google Cloud Platform, 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).
- 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, Google Cloud Platform, 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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91166691
- Position Id: 2026-361
- Posted 6 hours ago
Company Info
About DCode Talent
At Dcode Talent, we specialize in IT staffing and consulting services, connecting skilled professionals with top companies. Our expertise spans across multiple industries, ensuring that businesses find the right talent and IT professionals achieve their career goals.
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