The AI Developer designs, builds, and deploys AI-powered solutions, automation workflows, and integrations that support HeartlandFPG business objectives, translating approved AI use cases into functional, production-ready applications.
Responsibilities
Design, build, test, and deploy AI agents, automation workflows, and integrations on approved platforms (primarily Abacus.AI).
Translate approved AI use cases and requirements into functional, production-ready solutions.
Build and deploy AI agents and automations for CPG use cases such as promotional lift analysis, demand planning support, and retail execution.
Develop prompts, configurations, and supporting logic in line with the department's prompt engineering and AI integration standards.
Build integrations between AI platforms and enterprise data sources, respecting governed data access controls.
Design, build, and evolve cloud-based integration capabilities for the TOpS project, taking technical ownership of architecture, design, and implementation of integration solutions.
Locations (3)
Rotherham, England, United Kingdom
London, England, United Kingdom
Manchester, England, United Kingdom
Responsibilities
Take technical ownership of architecture, design, implementation, and production readiness of TOpS applications, leading engineers and delivery partners to successful delivery.
Design and implement integration solutions using API, event-driven, and asynchronous messaging patterns, selecting approaches based on functional and non-functional requirements.
Define and govern integration patterns, API contracts, event schemas, message contracts, and publishing patterns.
Senior Engineer plays a critical role in the daily operations, support, and enhancement of the SailPoint IdentityIQ (IIQ) platform, supporting BAU operations and delivering enhancements.
Responsibilities
Collaborate with teams to Identify project requirements
Develop technical documentation for SailPoint IIQ implementations
Troubleshoot and resolve complex technical issues related to SailPoint IIQ
Participate in code reviews and ensure adherence to coding standards
Provide L2/L3 production support for SailPoint IdentityIQ environments.
Requirements
Nice to have: SailPoint IdentityIQ Engineer certification
Support the unique needs of our federal client as a Senior Power Platform Engineer, designing, building, and supporting enterprise-scale applications using Power Apps, Power Automate, Dataverse, Power BI, and related Microsoft technologies.
Compensation
The targeted base salary range for this role is $100,000-$150,000 per year.
Responsibilities
Design, develop, and maintain advanced solutions using Power Apps (Canvas and Model-Driven), Power Automate, Dataverse, and Power BI
Lead architectural design sessions and translate business requirements into scalable, well-structured Power Platform solutions
Implement robust data models, relationships, and business rule using Dataverse and other connected data sources
Build custom connectors, integrate external systems, and optimize API-based integrations across the M365 and Azure ecosystems
Develop and deploy Power Apps Component Framework (PCF) controls and other extensibility components using JavaScript/TypeScript
Requirements
Bachelor’s Degree (additional 4 years of experience may be considered in lieu of the Degree)
Nice to have: Microsoft Power Platform certifications (PL-100, PL-200, PL-400)
Senior AI Engineer / Agentic AI Solutions Architect to build and launch a new Enterprise AI team focused on developing, deploying, and managing AI solutions across the organization.
Locations (3)
Minneapolis, Minnesota, United States
St Paul, Minnesota, United States
Eden Prairie, Minnesota, United States
Responsibilities
Design, develop, deploy, and maintain AI agents and agentic workflows using GCP and Google's Agent Platform
Build and manage integrations within the Gemini Enterprise ecosystem
Develop standalone AI agents, multi-agent workflows, and automated business processes
Establish monitoring, performance optimization, and ongoing support for production AI solutions
Identify user-developed AI workflows and migrate them into scalable, centrally managed enterprise solutions
Senior software engineer responsible for engineering, implementation, integration, and sustainment of the project Tool's Suite in a Linux environment, ensuring secure credential management, privileged access controls, secrets management, and automation capabilities aligned with mission security and compliance requirements.
Compensation
Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
Responsibilities
Engineer the Tool's Suite in a Linux environment
Ensure secure credential management and privileged access controls
Maintain secrets management and automation capabilities
Serve as SME for tool technologies on Linux
Collaborate with security, infrastructure, and DevOps teams
Requirements
Master's degree in Computer Science or related discipline
Bachelor's degree in Computer Science or related discipline
Nice to have: Atlassian Suite (Jira, Confluence)
Nice to have: enterprise security tools
Nice to have: cybersecurity-focused software engineering
The Intelligent Automation Manager is responsible for leading a team responsible for the support, enhancement, and evolution of the firm’s business automation capabilities, overseeing solutions built on platforms like Power Automate, Automation Anywhere, and Xceptor.
Compensation
Base Salary Range: $132,500.00 - $198,500.00. This position is eligible for competitive incentive bonus.
Responsibilities
Lead, coach, and develop a team responsible for the delivery, support, enhancement, and continuous improvement of a large portfolio of production automations and digital solutions across business functions.
Provide technical guidance and oversight to the team across automation architecture, solution design, development practices, testing, deployment, troubleshooting, and production support.
Build strong partnerships with business stakeholders and serve as a trusted point of contact for automation opportunities, priorities, and outcomes.
Lead automation modernization initiatives by evaluating and implementing emerging technologies—including workflow automation, AI, agentic AI, machine learning, orchestration platforms, Microsoft Power Platform, and Copilot Studio.
Help develop and execute an automation modernization roadmap, assessing the existing portfolio to identify opportunities for platform consolidation, process redesign, migration, architectural improvements, and retirement of obsolete or inefficient solutions.
We are looking for a Genesys Cloud CX Solution Designer to design and deliver a complete Genesys Cloud CX solution within a complex banking ecosystem. This role owns end-to-end technical solution design across a large-scale enterprise contact centre platform in a highly regulated environment.
Responsibilities
Lead end-to-end solution design for contact centre initiatives, from early business ideation through implementation.
Partner with business stakeholders and senior leaders to understand objectives and recommend the right technical approach.
Translate business needs into clear, scalable, secure and supportable contact centre designs.
Own solution designs across core services, including IVR and self-service, call routing, call recording, workforce management and agent desktop technologies.
Design Genesys Cloud CX solutions and integrations across internal and external applications.
Act as the senior hands-on technical authority, making implementation decisions, resolving complex issues, reviewing code, and providing day-to-day technical leadership and mentoring.
Define and govern standards for retries, dead-letter handling, replay, idempotency, observability, and operational resilience.
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