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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** U.S. Tech Solutions Inc. - **Location:** Plano, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, JIRA, Cloud Computing, Data Cleansing, Document Management Systems, Python (Programming Language), Object-Oriented Software Development, Microsoft SharePoint, SQL Databases, Data Processing, Scripting, Macros, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Backend, Agentic-AI, Atlassian Tools, Data Management, Tools for Reporting, Claude, Restful APIs, Webhooks - **Published:** October 8, 2026 - **Apply:** https://www.dice.com/job-detail/13698b79-d42b-44d0-a300-8ae4e4316f34 ## About the Role * 5+ years administering Atlassian (Jira / Confluence) and SharePoint in a SPOG, operations, or product environment. * Hands-on programming ability - Python for automation, data wrangling, and API integration; comfort with REST APIs, webhooks, and scripting. (This is a genuine upgrade over a pure-admin profile: the role requires someone who can build, not only configure.) * Demonstrated experience building workflow automation (Jira automation, custom scripting, or equivalent) that measurably reduced manual effort. * Hands-on experience building AI agents and agentic workflows - orchestrating LLM calls, tools, and multi-step reasoning - ideally on Claude via the Anthropic API/SDK. Solid grounding in prompt engineering, retrieval-augmented generation, and connecting agents to real systems (Jira, Confluence, SharePoint) through their APIs. * Data and reporting depth - able to build dashboards and models using SQL, Python, and modern BI / reporting tools. * Strong process orientation - able to translate messy operational needs into reliable, documented, maintainable systems., * Experience in a go-to-market, product-launch, or PMO environment operating at scale. * Exposure to Java or another object-oriented language for deeper integration and custom tooling. * Experience defining AI governance or responsible-use policy for a team or function. * Change-management and enablement experience - training non-technical teams to adopt new tools and ways of working. * Relevant certifications (PMP, Atlassian, or applied-AI credentials). ## Description Top skills: * Artificial Intelligence * Process Improvement * Backend Development, What You'll Own - Operational Backbone * Keep the SPOG's execution engine running with the rigor our launches demand. * As an enabler team, the SPOG's leverage comes from how well the rest of the organization can execute. Today that leverage is capped by manual, tool-bound coordination. By pairing durable platform ownership with real programming and applied-AI capability in a single seat, this role converts our execution systems into an engine for the AI transformation - freeing the team to spend less time assembling status and more time driving launch excellence. * Atlassian platform: administration, configuration, and governance of Jira and Confluence - projects, workflows, permissions, templates, and launch-tracking structures. * SharePoint & content management: architecture, permissions, document management, and site governance across the SPOG's collaboration and knowledge environment. * Office & workflow automation: build and maintain templates, macros, and integrations that standardize how launch status, readiness, and reporting are captured and shared. * Governance & reliability: own data hygiene, access control, and change management so the single source of truth stays trustworthy and audit ready. What You'll Build - AI Transformation & Intelligent Automation Lead the shift from manual tracking to AI-augmented execution across the GTM function. * Build agents on Claude: design and build AI agents on Claude (Anthropic API/SDK, primarily in Python) that integrate with our Jira, Confluence, and SharePoint data to eliminate manual status collection, reminders, and report assembly. Note: our Atlassian environment is self-managed (not Atlassian Cloud), so agentic capability is built on Claude as a separate, dedicated layer rather than relying on built-in cloud AI features. * Intelligent knowledge access: stand up AI-assisted, retrieval-augmented search across Confluence and SharePoint content so launch teams instantly surface decisions, specs, playbooks, and prior-launch learnings - powered by Claude over our own document base. * Decision-ready visibility: build launch-readiness dashboards and early-warning risk flags that turn scattered execution data into a real-time view of timeline and dependency health. * AI tooling & governance: evaluate, pilot, and govern the SPOG's Claude-based agents and assistants, and define responsible-use guardrails and data-handling standards as adoption grows across the GTM org. * Cross-team enablement: partner with Business Operations and Strategic Operations to automate reporting inputs and BI feeds, reducing manual effort in forecasting and performance tracking. * Own the roadmap: identify high-ROI AI use cases, prototype quickly, measure impact, and scale what works - acting as the transformation catalyst for how the team operates., * Stabilized and documented the SPOG's Jira / Confluence / SharePoint environment with clear governance. * Shipped 2-3 automations that measurably cut manual launch-tracking and reporting effort. * Stood up AI-assisted search across the SPOG knowledge base, adopted by launch teams. * Delivered a prioritized, ROI-ranked AI use-case roadmap for the GTM function.