Job Description

Agentic AI Engineer
Enterprise Integrations, Intelligent Automation & AI Platform Delivery
Department: IT & Digital Transformation
Reports to: Sr. Director, Infrastructure & BI
Type: 6 month contract
The Opportunity
Accuris 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 Us
This 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.