Drive new business and expand existing customer relationships within the Federal Civilian Public Sector, focusing on MuleSoft and Informatica solutions.
Compensation
The typical base salary range for this position is $160,300 - $214,400 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $176,350 - $235,850 per year.
Responsibilities
Develop and execute prospecting strategies to identify, qualify, and close new opportunities across Federal Civilian agencies
Expand existing accounts by growing MuleSoft and Informatica adoption
Build executive relationships with key agency stakeholders
Lead strategic account planning aligned with agency mission objectives
Collaborate across Salesforce teams to execute coordinated account strategies
Lead the design, implementation, and governance of AI and legal‑technology solutions within Illumina’s Legal Operations team, translating AI priorities into secure, governed, and well‑adopted platforms and providing analytics to drive decision‑making.
Compensation
The estimated base salary range for the Senior Legal AI & Analytics Specialist, Legal Operations role based in the United States of America is: $98,400 - $147,600. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.
Responsibilities
Run the Legal AI and legal‑technology roadmap
Coordinate evaluation, selection and onboarding of AI and legal‑tech solutions
Configure, administer and support Legal’s AI and legal‑tech platforms
Build, test, document and maintain AI agents, assistants, prompt libraries and automated workflows
Implement human‑review controls, logging, data‑classification and retention requirements
Requirements
Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Finance, Legal Studies or a related field
Help teams across IREX and its programs identify, test, and launch practical uses of artificial intelligence that solve real problems, translating program and business needs into workable, scalable solutions.
Compensation
Salary Range: $140,000 - $165,000
Responsibilities
Define problems, users, expected value, and success measures before selecting an AI approach
Prototype and implement AI-enabled assistants, workflows, search experiences, and lightweight applications
Configure and extend commercial AI platforms and develop integrations or custom components using APIs and code
Design and test AI agents and multi-step workflows
Engage with users in iterative usability and functionality testing and refinement
Requirements
Bachelor's Degree in Computer Science, Information Technology, Cyber Security or related fields
Lead configuration and data management activities and enable technical integration across engineering toolchains for Phantom Works Capability Accelerator Cell (CAC) in Berkeley, MO.
Compensation
Summary pay range: $103,700 - $140,300
Responsibilities
Develop, implement, and sustain configuration management (CM) policies, procedures, and baselines for hardware, software, and models.
Author and maintain data models, naming conventions, metadata schemas, and data governance rules for PDM/PLM systems.
Lead technical integration efforts between engineering tools (e.g., PLM, MBSE, ALM, CAD, ERP) using APIs, middleware, and exchange standards.
Configure, administer, and troubleshoot PDM/PLM systems and integrations; coordinate upgrades and deployments with IT and stakeholders.
Establish and enforce product lifecycle workflows, version control, release processes, and change management practices.
Requirements
Bachelor of Science degree in Engineering
Bachelor of Science degree in Engineering Technology
In this role, you will provide automation support to project teams, including setup, training, application use, software quality assurance, reporting, database administration, and close-out activities.
Compensation
Salary Range: $84,600 - $122,400 annually
Responsibilities
Support the interface with projects across all Bechtel GBU’s to collect functional requirements.
Collaborate with end users on issues and gaps in the software or the work process.
Conduct comprehensive testing and quality assurance for software releases.
Position requires travel to project sites when required for deployment support and training.
Compiles and drafts content for technical user manuals, software training videos, training presentations, and presentations to upper management.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Engineering, or another relevant technical discipline
Builds front‑end applications for members, internal employees, and restaurant owners, shipping polished, accessible, well‑tested products on shared foundations.
Compensation
The base salary range for this role in Chicago is $120,000–$160,000 annually, depending on level (mid-level or senior), as well as candidate experience, skills, and other factors. This role is also eligible for an annual bonus target of 10%, bringing total target compensation to $132,000–$176,000.
Responsibilities
Design, build, and ship features across the member app, internal operations tools, and merchant portal
Build reusable components and design‑system primitives
Implement partner theming and configuration
Integrate with backend services
Implement authentication and role‑based access
Requirements
Bachelor's in Computer Science or a related field, or equivalent experience
The Forward Deployed Engineer will serve as the bridge between technology and the business, combining software engineering, AI implementation, systems integration, product development, and operational problem solving.
Compensation
The base salary range for this role is $150,000 - $180,000 annually.
Responsibilities
Deploy technology where it creates the most impact
Partner directly with clinical and operational teams to understand pain points and opportunities
Embed within business functions to identify inefficiencies and opportunities for automation
Translate operational challenges into secure, scalable technical solutions
Lead initiatives from discovery and prototyping through implementation, adoption, and measurement
Requirements
Bachelor's degree in computer science, engineering, information systems, or equivalent practical experience
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