Top Tech Jobs & Startup Jobs in Little Rock,

Define architecture and technical strategy for an AI Agent Factory: build MCP server and AI-ready data access, integrate LLMs with semantic layers, enforce governance (auth, audit, PII protection), design evaluation frameworks, and establish company-wide standards for secure, scalable, observable AI deployments.

Perform centralized escrow document processing and back-office support for branch closings: review contracts and supporting documents, order payoffs, tax and HOA certificates, verify liens and tax info, coordinate follow-ups, maintain workflow dashboard with no overdue tasks, and identify discrepancies to assess risk and ensure timely, accurate closings.

Provide Level 1 IT support: troubleshoot O365, AD, Windows, Azure, networking, VPN, and hardware issues; log and escalate tickets, maintain documentation, and deliver professional customer service.

Design, implement, and maintain company web architecture and site; consult with users on specifications; oversee coding; manage OS and system performance; ensure cross-browser/template compatibility; test, debug, and support service architecture across the product lifecycle; collaborate with marketing and development.

Serve as a senior presales advisor for Specification-Driven Development: lead executive customer engagements, evangelize SDD, provide market and AI product feedback, and enable cross-functional GTM strategies to drive Jama Connect adoption and measurable outcomes.

Pre-sales technical role on Partnerships team translating Flashpoint threat data into actionable outcomes. Run and tailor demos, support sales strategy, consult with customers, translate needs to engineering/intel teams, build enablement materials, and influence product roadmap while growing into a trusted advisor for CTI and OSINT use cases.

Drive net-new sales and revenue growth within assigned industry verticals by developing strategic account plans, solution selling, cultivating executive relationships, managing pipeline in Salesforce, responding to RFPs, and negotiating contracts, pricing, and SLAs to meet or exceed quotas.

Lead partner go-to-market (GTM) to generate top-of-funnel demand via partner ecosystems, co-sell campaigns, and sales plays. Create "Sales-in-a-Box" kits (battlecards, discovery guides, decks), run partner days and events, align product/engineering for joint roadmaps, onboard GTM partners, execute webinars/roundtables, and track partner-accepted pipeline and campaign performance.

Act as primary liaison for existing employer groups to ensure satisfaction and retention. Manage renewals and pricing negotiations, provide enrollment and education support through virtual and in-person meetings, identify and resolve client issues with internal teams, and oversee escalations to optimize group experience.

This role supports HR activities including employee relations, compliance with laws, training, and policy implementation, while enhancing employee engagement and retention.

Support a Department of State data engineering program: review data policies and governance, define requirements, build and maintain Palantir-based data pipelines, clean and integrate datasets, detect and remediate data fidelity and pipeline issues, produce analyses and visualizations, and coordinate with non-technical users and stakeholders.

Lead design, development, and deployment of AI-enabled full-stack web applications on AWS. Own frontend (React), backend (Java/Python), APIs, workflow orchestration, RDBMS, CI/CD, DevSecOps, accessibility, and data visualization. Implement AI features (search, chatbots, document processing), mentor engineers, conduct code reviews, and work within SAFe to deliver secure, scalable mission solutions.

Lead end-to-end ServiceNow initiatives: gather and translate complex business requirements, design solutions across ITSM/SPM/GRC/App Engine, guide development and testing, drive stakeholder workshops, manage UAT and change management, mentor junior analysts, and deliver high-quality documentation and training to ensure successful platform adoption.

Design, build, and maintain scalable data pipelines, data models, ETL/ELT, and BI solutions. Collaborate with data scientists and stakeholders to improve data quality, accessibility, and PHI security. Develop and document workflows, optimize processing/storage, support data warehouse and visualization, and adopt AI tools to drive data-informed outcomes.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.