
10,000+ employees
Founded 2018
💰 Grant on 2023-02
Consulting • Digital Services • Public Sector
Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.
🕒 May 21
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10,000+ employees
Founded 2018
💰 Grant on 2023-02
Consulting • Digital Services • Public Sector
Guidehouse is a global consultancy offering advisory, digital, and managed services across commercial and public sectors. It is purpose-built to support industries such as national security, financial services, healthcare, energy, and infrastructure. Guidehouse collaborates with leaders to navigate complexity and drives transformational changes that impact the future. Their expertise spans data analytics, digital technologies, risk management, and more, with a strong emphasis on sustainability and innovation.
• The AI Engineer supports system-specific implementations that embed AI/ML and agentic automation to accelerate metadata identification, extraction, enrichment, and documentation. • Design AI-assisted metadata harvesting & enrichment. • Implement agentic/GenAI workflows for metadata documentation. • Own the metadata harvesting plan. • Human-in-the-loop steward validation. • Responsible automation scoping. • Build and maintain scalable pipelines (metadata-focused). • RAG / knowledge integration for semantic discovery. • Metadata quality metrics & validation controls. • Technical testing & verification. • Mentor and elevate engineering rigor.
• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST". • Candidates with an ACTIVE SECRET CLEARANCE OR PUBLIC TRUST or SUITABILITY are preferred. • Bachelor’s degree obtained. • 3-5+ years of experience in AI engineering, applied ML, or data/AI solution development in enterprise environments (senior-level expectations aligned to the referenced agentic AI role). • Strong proficiency in Python; working proficiency in SQL; familiarity with R is beneficial for statistical validation/profiling. • Hands-on experience with Generative AI (LLMs and/or similar) and Agentic AI architectures applied to real workflows. • Experience with RAG pipelines, and familiarity with vector databases and knowledge graphs (for semantic retrieval and metadata-driven discovery). • Experience with AI/ML frameworks such as TensorFlow and/or PyTorch (or equivalent). • Demonstrated ability to translate AI techniques into practical, auditable engineering outcomes and communicate clearly with both technical SMEs and non-technical stakeholders.
• 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
Apply Now🕒 May 21
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