Mandatory Skills: React Typescript Python and/or AI-native builder - you use LLMs (Claude Copilot etc.) MCPs APIs. Sales Operations CRM
Responsibilities:
You will build and scale AI-powered solutions across Sales BPR. You turn designed workflows into working solutions - leveraging existing enterprise tools MCPs APIs and AI platforms to assemble and configure what the team needs. You code when needed but your primary value is knowing whats available and wiring it together effectively.
What Youll Do:
Build & Prototype:
Assemble AI-powered workflows using existing enterprise tools MCPs and APIs
Write scripts automations and glue code to connect systems and fill gaps
Prototype rapidly - get a working version in front of users fast then iterate Evaluate & Advise
Assess technical feasibility of proposed AI use cases - whats possible with existing tools what needs IS&T involvement
Evaluate new tools and capabilities as they become available - is it relevant is it approved how does it fit
Know when to build vs. when to escalate to IS&T for platform-level support Integrate & Scale
Turn one-off prompt solutions into reusable maintained tools
Build and maintain the process repository as a living product
Configure and connect AI solutions to existing BPR and Sales systems
Ensure solutions are reliable and handle edge cases - Stay current on the enterprise AI landscape - what IS&T ships what MCPs are available whats newly approved
Key Qualifications:
5 years in a technical role - solutions engineering technical consulting or systems integration
Strong understanding of full-stack architecture - frontend backend APIs databases. You know how applications are structured and how the pieces connect.
Proficient with React Typescript Python and/or - you can read debug and modify code confidently
Effective AI-native builder - you use LLMs (Claude Copilot etc.) to write code and you know how to prompt evaluate output and iterate until its right
Experience integrating with LLMs/AI in applications - API calls handling responses building AI-powered features
UX sensibility - you build things that look and feel good not just things that work
Self-directed problem solver - given an unfamiliar infrastructure you figure it out
Strong understanding of APIs data flows and how enterprise systems connect
Able to navigate and leverage existing platforms - MCPs enterprise AI tools internal tooling - without needing to build them from scratch
Can translate between technical and business audiences
Strong prototyping mindset - ship fast iterate dont over-engineer
Self-directed and comfortable with ambiguity
Preferred:
Experience assembling solutions in large enterprise environments with existing tool ecosystems
Familiarity with data analysis tools (SQL DuckDB pandas) for workflow automation
Background in Sales Operations CRM or enterprise business systems
Role: Senior Agentic Platform Engineer Location: Austin TX(Onsite) Duration: Contract Mandatory Skills: React Typescript Python and/or AI-native builder - you use LLMs (Claude Copilot etc.) MCPs APIs. Sales Operations CRM Responsibilities: You will build and scale AI-powered solutions acro...
Role: Senior Agentic Platform Engineer
Location: Austin TX(Onsite)
Duration: Contract
Mandatory Skills: React Typescript Python and/or AI-native builder - you use LLMs (Claude Copilot etc.) MCPs APIs. Sales Operations CRM
Responsibilities:
You will build and scale AI-powered solutions across Sales BPR. You turn designed workflows into working solutions - leveraging existing enterprise tools MCPs APIs and AI platforms to assemble and configure what the team needs. You code when needed but your primary value is knowing whats available and wiring it together effectively.
What Youll Do:
Build & Prototype:
Assemble AI-powered workflows using existing enterprise tools MCPs and APIs
Write scripts automations and glue code to connect systems and fill gaps
Prototype rapidly - get a working version in front of users fast then iterate Evaluate & Advise
Assess technical feasibility of proposed AI use cases - whats possible with existing tools what needs IS&T involvement
Evaluate new tools and capabilities as they become available - is it relevant is it approved how does it fit
Know when to build vs. when to escalate to IS&T for platform-level support Integrate & Scale
Turn one-off prompt solutions into reusable maintained tools
Build and maintain the process repository as a living product
Configure and connect AI solutions to existing BPR and Sales systems
Ensure solutions are reliable and handle edge cases - Stay current on the enterprise AI landscape - what IS&T ships what MCPs are available whats newly approved
Key Qualifications:
5 years in a technical role - solutions engineering technical consulting or systems integration
Strong understanding of full-stack architecture - frontend backend APIs databases. You know how applications are structured and how the pieces connect.
Proficient with React Typescript Python and/or - you can read debug and modify code confidently
Effective AI-native builder - you use LLMs (Claude Copilot etc.) to write code and you know how to prompt evaluate output and iterate until its right
Experience integrating with LLMs/AI in applications - API calls handling responses building AI-powered features
UX sensibility - you build things that look and feel good not just things that work
Self-directed problem solver - given an unfamiliar infrastructure you figure it out
Strong understanding of APIs data flows and how enterprise systems connect
Able to navigate and leverage existing platforms - MCPs enterprise AI tools internal tooling - without needing to build them from scratch
Can translate between technical and business audiences
Strong prototyping mindset - ship fast iterate dont over-engineer
Self-directed and comfortable with ambiguity
Preferred:
Experience assembling solutions in large enterprise environments with existing tool ecosystems
Familiarity with data analysis tools (SQL DuckDB pandas) for workflow automation
Background in Sales Operations CRM or enterprise business systems