Key Responsibilities:
-
Lead end-to-end solutioning of AI agents and workflows including design development testing and deployment
-
Build business cases conduct process reviews perform data analysis and document business requirements
-
Apply prompt and context engineering techniques to optimize AI model performance
-
Collaborate with cross-functional teams to identify business problems and implement AI-driven solutions
-
Mentor operations staff on AI solutioning prompt design and best practices
-
Drive AI adoption through enablement sessions bootcamps and strategic initiatives
-
Execute rapid response AI projects with a focus on delivery and measurable business impact
-
Act as a subject matter expert and internal champion for AI capabilities
Technical Skills & Experience:
-
Hands-on experience with LangChain & LangGraph 1.2.x
-
Familiarity with agentic design patterns (multi-agent workflows supervisor/sub-agents swarm patterns)
-
Experience with MCP servers and MCP clients
-
Experience with multi-threading in Python including AsyncIO and non-blocking programming (nice to have)
-
Working knowledge of AI search document intelligence and generative AI models (OpenAI Anthropic Microsoft Meta)
-
Development using Python Java and frameworks like FastAPI integrating with APIs and cloud platforms
-
Implementation and management of CI/CD pipelines for secure and efficient deployment
-
Experience with Docker GitHub Ansible and Terraform
Key Responsibilities: Lead end-to-end solutioning of AI agents and workflows including design development testing and deployment Build business cases conduct process reviews perform data analysis and document business requirements Apply prompt and context engineering techniques to optimize AI ...
Key Responsibilities:
-
Lead end-to-end solutioning of AI agents and workflows including design development testing and deployment
-
Build business cases conduct process reviews perform data analysis and document business requirements
-
Apply prompt and context engineering techniques to optimize AI model performance
-
Collaborate with cross-functional teams to identify business problems and implement AI-driven solutions
-
Mentor operations staff on AI solutioning prompt design and best practices
-
Drive AI adoption through enablement sessions bootcamps and strategic initiatives
-
Execute rapid response AI projects with a focus on delivery and measurable business impact
-
Act as a subject matter expert and internal champion for AI capabilities
Technical Skills & Experience:
-
Hands-on experience with LangChain & LangGraph 1.2.x
-
Familiarity with agentic design patterns (multi-agent workflows supervisor/sub-agents swarm patterns)
-
Experience with MCP servers and MCP clients
-
Experience with multi-threading in Python including AsyncIO and non-blocking programming (nice to have)
-
Working knowledge of AI search document intelligence and generative AI models (OpenAI Anthropic Microsoft Meta)
-
Development using Python Java and frameworks like FastAPI integrating with APIs and cloud platforms
-
Implementation and management of CI/CD pipelines for secure and efficient deployment
-
Experience with Docker GitHub Ansible and Terraform
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