AI Engineer and Architect

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Travel Required:

Clearance Required:

Job Summary

The AI Engineer supports system-specific implementations that embed AI/ML and agentic automation to accelerate metadata identification extraction enrichment and documentation. This role owns the metadata harvesting plan and leads the design and implementation of AI-assisted workflows that generate validated metadata artifacts (e.g. semantic tags data dictionary entries and supporting documentation) using client-approved tools and human-in-the-loop steward review cycles.

The AI Engineer is accountable for automated metadata harvesting and documentation delivering automated harvesting and AI-assisted documentation outputs while operating within approved governance and security guardrails.

Key Responsibilities

• Design AI-assisted metadata harvesting & enrichment: Build AI/ML-enabled approaches to identify extract normalize and enrich technical business and operational metadata from structured and semi-structured sources (e.g. databases pipelines file/document repositories) and generate semantic tags and documentation outputs.

• Implement agentic/GenAI workflows for metadata documentation: Design and implement agentic AI patterns to support autonomous or semi-autonomous metadata exploration summarization and documentation generationwhile maintaining human validation and auditability.

• Own the metadata harvesting plan: Define scope sequencing cadence source coverage extraction methods staging validation and handoffs; maintain decision logs and traceability for stewardship and governance review.

• Human-in-the-loop steward validation: Facilitate structured in-person/virtual review cycles with data stewards to validate AI-generated metadata resolve discrepancies and continuously improve extraction/enrichment accuracy.

• Responsible automation scoping: Identify where automation is feasible vs. where systems require manual curation; document constraints and remediation needs without attempting to automate through non-harvestable environments.

• Build and maintain scalable pipelines (metadata-focused): Implement and maintain scalable pipelines that integrate structured and unstructured sources for metadata extraction and enrichment; apply strong engineering discipline for reliability and repeatability.

• RAG / knowledge integration for semantic discovery: Lead work that connects harvested metadata to semantic search patterns using retrieval-augmented generation (RAG) concepts and where applicable knowledge graph integration to improve discoverability and semantic alignment.

• Metadata quality metrics & validation controls: Define and implement checks for completeness accuracy timeliness and consistency; flag issues for remediation and support governance escalation where required.

• Technical testing & verification: Plan and execute tests to verify the metadata extraction/enrichment process works reliably across supported sources; contribute to regression coverage and repeatable validation workflows.

• Mentor and elevate engineering rigor: Mentor junior team members on agentic AI/GenAI engineering patterns metadata quality practices and documentation standards.

What you will need:

• 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.

• Once onboard with Guidehouse new hire MUST be able to OBTAIN and MAINTAIN a Federal or DoD SECRET security clearance.

• Bachelors 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.

What Would Be Nice to Have:

• Familiarity with AI governance ethical/responsible AI practices and operating in compliance-driven environments.

• Bachelors degree in Computer Science Information Systems Engineering Data Science or related field

• Proficiency with visualization tools and interactive dashboards to communicate metadata quality coverage and validation results.

• Agile delivery experience (sprint-based delivery; backlog/issue tracking).

• Prior consulting experience delivering AI-enabled solutions in complex enterprise environments.

• Exposure to metadata/catalog patterns and metadata-focused engineering (harvesting catalog population concepts semantic discovery / lineage concepts).

What We Offer:

Guidehouse offers a comprehensive total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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

About Guidehouse

Guidehouse is an Equal Opportunity EmployerProtected Veterans Individuals with Disabilities or any other basis protected by law ordinance or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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