Agentic AI Engineer (6-Month Contract)
Agentic AI EngineerEnterprise Integrations, Intelligent Automation & AI Platform Delivery
Department: IT & Digital TransformationReports to: Sr. Director, Infrastructure & BIType: 6 month contract
The OpportunityAccuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems.
We are looking for an Agentic AI Engineer to lead technical delivery—building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems.
Core Responsibilities
Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms
Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation
Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement
Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards
Implement governance frameworks including audit logging, data lineage, and PII protection
Partner with business teams to translate workflows into AI-enabled solutions
Drive adoption through reusable prompts, tools, and training for non-technical users
What We’re Looking For
3+ years building API integrations with CRM, ERP, or HRIS systems
Strong Python experience with LLM APIs and SDKs
Experience with agentic architectures (tool use, function calling, multi-step workflows)
Familiarity with AI frameworks (LangChain, MCP, or similar)
Experience with OAuth, SSO/SAML, and enterprise authentication
Background in data platforms, BI tools, and enterprise data governance (RBAC, row-level security)
What Sets You Apart
Experience building production AI systems connected to live enterprise data
Strong systems thinking across integrations, permissions, and reliability
Track record of delivering AI tools adopted by business users
Ability to translate business problems into multi-system AI workflows
Experience in pricing, contract management, or revenue operations systems
How We Evaluate Candidates
Agentic Architecture: designing autonomous, multi-system AI workflows
Enterprise Integration: building and managing production integrations
Business Delivery: shipping end-to-end solutions (pricing, SDR, CLM, etc.)
Governance & Adoption: ensuring trust, usage, and measurable impact
Why Join UsThis is not a research role—we have a live platform, a funded roadmap, and strong executive alignment. You’ll play a key role in building an AI-native enterprise by connecting systems, deploying agents, and driving real adoption.
Apply with your resume and a brief note on why this role interests you. Optionally include links to relevant systems or integrations you’ve built.
Apply Now
Department: IT & Digital TransformationReports to: Sr. Director, Infrastructure & BIType: 6 month contract
The OpportunityAccuris Technologies is executing a company-wide AI transformation across 40+ initiatives spanning Finance, Sales, Marketing, Legal, RevOps, Product, HR, and Customer Experience. We have a funded roadmap, active enterprise AI licenses, and governed integrations already live across our core systems.
We are looking for an Agentic AI Engineer to lead technical delivery—building connectors, agents, and workflows that transform our CRM, ERP, HRIS, and data platforms into a unified, natural-language-driven experience. This role will bring our AI strategy to life through real, production-grade systems.
Core Responsibilities
Design and build agentic systems that orchestrate across ERP, CRM, data warehouse, HRIS, and BI platforms
Develop multi-step AI workflows including tool selection, data retrieval, reasoning, and response generation
Build and extend enterprise integrations, including authentication (OAuth, SSO) and RBAC enforcement
Deliver AI-powered business solutions such as pricing engines, SDR automation, contract workflows, and executive dashboards
Implement governance frameworks including audit logging, data lineage, and PII protection
Partner with business teams to translate workflows into AI-enabled solutions
Drive adoption through reusable prompts, tools, and training for non-technical users
What We’re Looking For
3+ years building API integrations with CRM, ERP, or HRIS systems
Strong Python experience with LLM APIs and SDKs
Experience with agentic architectures (tool use, function calling, multi-step workflows)
Familiarity with AI frameworks (LangChain, MCP, or similar)
Experience with OAuth, SSO/SAML, and enterprise authentication
Background in data platforms, BI tools, and enterprise data governance (RBAC, row-level security)
What Sets You Apart
Experience building production AI systems connected to live enterprise data
Strong systems thinking across integrations, permissions, and reliability
Track record of delivering AI tools adopted by business users
Ability to translate business problems into multi-system AI workflows
Experience in pricing, contract management, or revenue operations systems
How We Evaluate Candidates
Agentic Architecture: designing autonomous, multi-system AI workflows
Enterprise Integration: building and managing production integrations
Business Delivery: shipping end-to-end solutions (pricing, SDR, CLM, etc.)
Governance & Adoption: ensuring trust, usage, and measurable impact
Why Join UsThis is not a research role—we have a live platform, a funded roadmap, and strong executive alignment. You’ll play a key role in building an AI-native enterprise by connecting systems, deploying agents, and driving real adoption.
Apply with your resume and a brief note on why this role interests you. Optionally include links to relevant systems or integrations you’ve built.
Apply Now