Guidehouse

AI & Automation Lead

Guidehouse

full-time

Posted on:

Location Type: Remote

Location: IllinoisVirginiaUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $135,000 - $225,000 per year

Job Level

Tech Stack

About the role

  • Design, develop, and implement advanced AI-driven solutions, including new agents, models, and functionality, to support enterprise business needs
  • Lead hands-on API development and system integrations across cloud-based and enterprise platforms, with a primary focus on Azure core technologies
  • Architect, build, and secure AI applications operating in multi-cloud environments, ensuring scalability, performance, and compliance with security standards
  • Provide technical leadership to highly skilled development teams, balancing strategic direction with hands-on contribution as needed
  • Develop and maintain Power Platform automations and Microsoft 365 integrations to streamline workflows and enhance operational efficiency
  • Apply Software Development Lifecycle (SDLC) best practices, ensuring high-quality deliverables, proper documentation, and effective governance controls
  • Collaborate closely with cross-functional stakeholders to translate complex business requirements into scalable technical solutions
  • Leverage Model Context Protocol (MCP) frameworks and emerging AI standards to enhance interoperability and extensibility of AI systems
  • Analyze complex technical challenges, identify root causes, and implement effective, forward-thinking solutions
  • Communicate technical concepts clearly and effectively to both technical and non-technical audiences
  • Contribute to continuous improvement by staying current with evolving AI technologies, platforms, and best practices
  • Support authentication and authorization integrations, including OAuth 2.0, where applicable
  • Foster strong working relationships across diverse teams and organizational levels in a remote-first environment

Requirements

  • Bachelor's degree plus 10 years of relevant experience; OR 14 years of relevant experience in lieu of degree
  • Minimum 5 years of AI related experience including implementation of new agents/models/functionality
  • Expert level with API development and integration techniques
  • Expert level managing highly technical teams with hands on involvement
  • Expert level developing Power Platforms automation and M365 Integrations
  • Expert in Software Development Lifecycle methodologies, deliverables, and controls
  • Experience with securing applications that live in multi-cloud environments (but rely on Azure core technologies)
  • Familiarity with Model Context Protocol (MCP) framework
  • Excellent verbal and written communication skills
  • Strong analytical, problem-solving skills
  • Ability to work effectively in a team environment while remote
  • Strong interpersonal skills with the ability to build and establish rapport with a diverse array of people at all levels
  • Desire to learn, grow, and seek increased responsibility
  • Ability to self-direct, prioritize, and manage multiple tasks and demands
Benefits
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI-driven solutionsAPI developmentsystem integrationsPower Platform automationMicrosoft 365 integrationsSoftware Development Lifecycle (SDLC)Model Context Protocol (MCP)multi-cloud environmentssecurity standardsauthentication and authorization
Soft skills
technical leadershipcommunication skillsanalytical skillsproblem-solving skillsteam collaborationinterpersonal skillsself-directionprioritizationadaptabilityrelationship building